Inventors list

Assignees list

Classification tree browser

Top 100 Inventors

Top 100 Assignees


Subportions

Subclass of:

704 - Data processing: speech signal processing, linguistics, language translation, and audio compression/decompression

704200000 - SPEECH SIGNAL PROCESSING

704231000 - Recognition

704251000 - Word recognition

Patent class list (only not empty are listed)

Deeper subclasses:

Entries
DocumentTitleDate
20130085757APPARATUS AND METHOD FOR SPEECH RECOGNITION - An embodiment of an apparatus for speech recognition includes a plurality of trigger detection units, each of which is configured to detect a start trigger for recognizing a command utterance for controlling a device, a selection unit, utilizing a signal from one or more sensors embedded on the device, configured to select a selected trigger detection unit among the trigger detection units, the selected trigger detection unit being appropriate to a usage environment of the device, and a recognition unit configured to recognize the command utterance when the start trigger is detected by the selected trigger detection unit.04-04-2013
20130035939System and Method for Discriminative Pronunciation Modeling for Voice Search - Disclosed herein is a method for speech recognition. The method includes receiving speech utterances, assigning a pronunciation weight to each unit of speech in the speech utterances, each respective pronunciation weight being normalized at a unit of speech level to sum to 1, for each received speech utterance, optimizing the pronunciation weight by identifying word and phone alignments and corresponding likelihood scores, and discriminatively adapting the pronunciation weight to minimize classification errors, and recognizing additional received speech utterances using the optimized pronunciation weights. A unit of speech can be a sentence, a word, a context-dependent phone, a context-independent phone, or a syllable. The method can further include discriminatively adapting pronunciation weights based on an objective function. The objective function can be maximum mutual information, maximum likelihood training, minimum classification error training, or other functions known to those of skill in the art.02-07-2013
20090187406VOICE RECOGNITION SYSTEM - A voice recognition system is provided that outputs a talk-back voice in a manner such that a user can distinguish the accuracy of a voice-recognized character string more easily. A voice recognition unit performs voice recognition on a user's articulation in which a character string such as the telephone number “024 636 0123” is entered via a microphone. Based on each sound existing period delimited by silent intervals, each recognized partial character string “024”, “636” and “0123” is obtained. A talk-back voice data generating unit connects each recognized partial character string “024”, “636” and “0123” together in a manner such that space characters are inserted, and generates a character string “024 636 0123”. The generated character string “024 636 0123” is supplied to a voice generating device as talk-back voice data. A voice signal to be produced by the speaker 2 is generated in the form of the talk-back voice.07-23-2009
20090164218METHOD AND APPARATUS FOR UNITERM DISCOVERY AND VOICE-TO-VOICE SEARCH ON MOBILE DEVICE - A method, system and communication device for enabling uniterm discovery from audio content and voice-to-voice searching of audio content stored on a device using discovered uniterms. Received audio/voice input signal is sent to a uniterm discovery and search (UDS) engine within the device. The audio data may be associated with other content that is also stored within the device. The UDS engine retrieves a number of uniterms from the audio data and associates the uniterms with the stored content. When a voice search is initiated at the device, the UDS engine generates a statistical latent lattice model from the voice query and scores the uniterms from the audio database against the latent lattice model. Following a further refinement, the best group of uniterms is then determined and segments of the stored audio data and/or other content corresponding to the best group of uniterms are outputted.06-25-2009
20090157403HUMAN SPEECH RECOGNITION APPARATUS AND METHOD - A speech recognition apparatus generates a feature vector series corresponding to a speech signal, and recognizes a phoneme series corresponding to the feature vector series using sounds corresponding to phonemes and a phoneme language model. In addition, the speech recognition apparatus recognizes vocabulary that corresponds to the recognized phoneme series. At this time, the phoneme language model represents connection relationships between the phonemes, and is modeled according to time-variant characteristics of the phonemes.06-18-2009
20100332231LEXICAL ACQUISITION APPARATUS, MULTI DIALOGUE BEHAVIOR SYSTEM, AND LEXICAL ACQUISITION PROGRAM - A lexical acquisition apparatus includes: a phoneme recognition section 12-30-2010
20120166197CONVERTING TEXT INTO SPEECH FOR SPEECH RECOGNITION - The present invention discloses converting a text form into a speech. In the present invention, partial word lists of a data source are obtained by parsing the data source in parallel or in series. The partial word lists are then compiled to obtain phoneme graphs corresponding, respectively, to the partial word lists, and then the obtained phoneme graphs are combined. Speech recognition is then conducted according to the combination results. According to the present invention, computational complexity may be reduced and recognition efficiency may be improved during speech recognition.06-28-2012
20090043581Methods and apparatus relating to searching of spoken audio data - This invention relates to a method of searching spoken audio data for one or more search terms comprising performing a phonetic search of the audio data to identify likely matches to a search term and producing textual data corresponding to a portion of the spoken audio data including a likely match. An embodiment of the method comprises the steps of taking phonetic index data corresponding to the spoken audio data, searching the phonetic index data for likely matches to the search term, wherein when a likely match is detected a portion of the spoken audio data or phonetic index data is selected which includes the likely match and said selected portion of the spoken audio data or phonetic index data is processed using a large vocabulary speech recogniser. The large vocabulary speech recogniser may derive textual data which can be used for further processing or may be used to present a transcript to a user. The present invention therefore combines the benefit of phonetic searching of audio data with the advantages of large vocabulary speech recognition.02-12-2009
20110010175TEXT DATA PROCESSING APPARATUS, TEXT DATA PROCESSING METHOD, AND RECORDING MEDIUM STORING TEXT DATA PROCESSING PROGRAM - Provided is to a text data processing apparatus, method and program to add a symbol at an appropriate position. The apparatus according to this embodiment is a text data processing apparatus that executes edit of a symbol in input text, the apparatus including symbol edit determination means 01-13-2011
20120191456POSITION-DEPENDENT PHONETIC MODELS FOR RELIABLE PRONUNCIATION IDENTIFICATION - A representation of a speech signal is received and is decoded to identify a sequence of position-dependent phonetic tokens wherein each token comprises a phone and a position indicator that indicates the position of the phone within a syllable.07-26-2012
20130060572TRANSCRIPT RE-SYNC - In an aspect, in general, method for aligning an audio recording and a transcript includes receiving a transcript including a plurality of terms, each term of the plurality of terms associated with a time location within a different version of the audio recording, forming a plurality of search terms from the terms of the transcript, determining possible time locations of the search terms in the audio recording, determining a correspondence between time locations within the different version of the audio recording associated with the search terms and the possible time locations of the search terms in the audio recording, and aligning the audio recording and the transcript including updating the time location associated with terms of the transcript based on the determined correspondence.03-07-2013
20090271200Speech recognition assembly for acoustically controlling a function of a motor vehicle - The invention relates to a speech recognition assembly for acoustically controlling a function of a motor vehicle, wherein the speech recognition assembly comprises a microphone disposed in the motor vehicle for inputting a voice command, a data base disposed in the motor vehicle in which respectively at least one meaning is allocated to phonetic representations of voice commands and an on-board-speech-recognition-system disposed in the motor vehicle for determining a meaning of the voice command by use of a meaning of a phonetic representation of a voice command stored in the data base, and wherein the speech recognition assembly further comprises an off-board-speech-recognition-system disposed spatially separated from the motor vehicle for determining a meaning of the voice command.10-29-2009
20100121642Speech Data Retrieval Apparatus, Speech Data Retrieval Method, Speech Data Retrieval Program and Computer Usable Medium Having Computer Readable Data Retrieval Program Embodied Therein - A speech data retrieval apparatus (05-13-2010
20090048837Phonetic tone mark system and method thereof - A system and method that utilizes common symbols for marking the tones of alphabet letters of different languages. The marking system and method employs the symbols from the standard English typing keyboard to denote tones. There are seven phonetic tone marks. Each mark represents a unique tone. The system can be applied to any alphabetic writing letters of different languages to denote specific language tones. The method makes it possible for alphabetic writing of any kind of language and for people to effectively capture the tones of words in different languages.02-19-2009
20110282667Methods and System for Grammar Fitness Evaluation as Speech Recognition Error Predictor - A plurality of statements are received from within a grammar structure. Each of the statements is formed by a number of word sets. A number of alignment regions across the statements are identified by aligning the statements on a word set basis. Each aligned word set represents an alignment region. A number of potential confusion zones are identified across the statements. Each potential confusion zone is defined by words from two or more of the statements at corresponding positions outside the alignment regions. For each of the identified potential confusion zones, phonetic pronunciations of the words within the potential confusion zone are analyzed to determine a measure of confusion probability between the words when audibly processed by a speech recognition system during the computing event. An identity of the potential confusion zones across the statements and their corresponding measure of confusion probability are reported to facilitate grammar structure improvement.11-17-2011
20090150154Method and system of generating and detecting confusing phones of pronunciation - A method of generating and detecting confusing phones/syllables is disclosed. The method includes a generating stage and a detecting stage. The generating stage includes: (a) input a Mandarin utterance; (b) partition the Mandarin utterance into segmented phones/syllables and generate the most likely route in a recognition net via Forced Alignment of Viterbi decoding; (c) compare the segmented phones/syllables with a Mandarin acoustic model; (d) determine whether a confusing phone/syllable exists; (e) add the confusing phone/syllable into the recognition net and repeat step (b), (c), and (d) when the confusing phone/syllable exists; (f) stop and output all generated confusing phones/syllables to a confusing phone/syllable file when a confusing phone/syllable does not exist. The detecting stage includes: (g) input a spoken sentence; (h) align the spoken sentence with the recognition net; (i) determine the most likely route of the spoken sentence; and (j) compare the most likely route of the spoken sentence with the target route of the spoken sentence to detect pronunciation error and give high-level pronunciation suggestions.06-11-2009
20090150152METHOD AND APPARATUS FOR FAST SEARCH IN CALL-CENTER MONITORING - A method and apparatus for indexing one or more audio signals using a speech to text engine and a phoneme detection engine, and generating a combined lattice comprising a text part and a phoneme part. A word to be searched is searched for in the text part, and if not found, or is found with low certainty is divided into phonemes and searched for in the phoneme parts of the lattice.06-11-2009
20090150153GRAPHEME-TO-PHONEME CONVERSION USING ACOUSTIC DATA - Described is the use of acoustic data to improve grapheme-to-phoneme conversion for speech recognition, such as to more accurately recognize spoken names in a voice-dialing system. A joint model of acoustics and graphonemes (acoustic data, phonemes sequences, grapheme sequences and an alignment between phoneme sequences and grapheme sequences) is described, as is retraining by maximum likelihood training and discriminative training in adapting graphoneme model parameters using acoustic data. Also described is the unsupervised collection of grapheme labels for received acoustic data, thereby automatically obtaining a substantial number of actual samples that may be used in retraining. Speech input that does not meet a confidence threshold may be filtered out so as to not be used by the retrained model.06-11-2009
20090157402METHOD OF CONSTRUCTING MODEL OF RECOGNIZING ENGLISH PRONUNCIATION VARIATION - A method of constructing a model of recognizing English pronunciation variations is used to recognize English pronunciations with different intonations influenced by native languages. The method includes collecting a plurality of sound information corresponding to English expressions; corresponding phonetic alphabets of the native language and English of a region to International Phonetic Alphabets (IPAs), so as to form a plurality of pronunciation models; converting the sound information with the pronunciation models to form a pronunciation variation network of the corresponding English expressions, thereby detecting whether the English expressions have pronunciation variation paths; and finally summarizing the pronunciation variation paths to form a plurality of pronunciation variation rules. Furthermore, the pronunciation variations are represented by phonetics features to infer possible pronunciation variation rules, which are stored to form pronunciation variation models. The construction of the pronunciation variation models enhances applicability of an English recognition system and accuracy of voice recognition.06-18-2009
20120035932Disambiguating Input Based on Context - In one implementation, a computer-implemented method includes receiving, at a mobile computing device, ambiguous user input that indicates more than one of a plurality of commands; and determining a current context associated with the mobile computing device that indicates where the mobile computing device is currently located. The method can further include disambiguating the ambiguous user input by selecting a command from the plurality of commands based on the current context associated with the mobile computing device; and causing output associated with performance of the selected command to be provided by the mobile computing device.02-09-2012
20090089059METHOD AND APPARATUS FOR ENABLING MULTIMODAL TAGS IN A COMMUNICATION DEVICE - A method and apparatus for enabling multimodal tags in a communication device is disclosed. The method comprises receiving a first training signal and receiving a second training signal in conjunction with the first training signal. A multimodal tag is created to represent a combination of the first training signal and the second training signal and a function is associated with the created multimodal tag.04-02-2009
20120296653SPEECH RECOGNITION OF CHARACTER SEQUENCES - A method of and a system for processing speech. A spoken utterance of a plurality of characters can be received. A plurality of known character sequences that potentially correspond to the spoken utterance can be selected. Each selected known character sequence can be scored based on, at least in part, a weighting of individual characters that comprise the known character sequence.11-22-2012
20090125308PLATFORM FOR ENABLING VOICE COMMANDS TO RESOLVE PHONEME BASED DOMAIN NAME REGISTRATIONS - A method, apparatus, and system are directed towards employing machine representations of phonemes to generate and manage domain names, and/or messaging addresses. A user of a computing device may provide an audio input signal such as obtained from human language sounds. The audio input signal is received at a phoneme encoder that converts the sounds into machine representations of the sounds using a phoneme representation viewable as a sequence of alpha-numeric values. The sequence of alpha-numeric values may then be combined with a host name, or the like to generate a URI, a message address, or the like. The generated URI, message address, or the like, may then be used to communication over a network.05-14-2009
20090164217MULTIRESOLUTION SEARCHING - This invention relates to processing of audio files, and more specifically, to an improved technique of searching audio. More particularly, a method and system for processing audio using a multi-stage searching process is disclosed.06-25-2009
20090326945METHODS, APPARATUSES, AND COMPUTER PROGRAM PRODUCTS FOR PROVIDING A MIXED LANGUAGE ENTRY SPEECH DICTATION SYSTEM - An apparatus may include a processor configured to receive vocabulary entry data. The processor may be further configured to determine a class for the received vocabulary entry data. The processor may be additionally configured to identify one or more languages for the vocabulary entry data based upon the determined class. The processor may also be configured to generate a phoneme sequence for the vocabulary entry data for each identified language. Corresponding methods and computer program products are also provided.12-31-2009
20080319749GENERIC SPELLING MNEMONICS - A system and method for creating a mnemonics Language Model for use with a speech recognition software application, wherein the method includes generating an n-gram Language Model containing a predefined large body of characters, wherein the n-gram Language Model includes at least one character from the predefined large body of characters, constructing a new Language Model (LM) token for each of the at least one character, extracting pronunciations for each of the at least one character responsive to a predefined pronunciation dictionary to obtain a character pronunciation representation, creating at least one alternative pronunciation for each of the at least one character responsive to the character pronunciation representation to create an alternative pronunciation dictionary and compiling the n-gram Language Model for use with the speech recognition software application, wherein compiling the Language Model is responsive to the new Language Model token and the alternative pronunciation dictionary.12-25-2008
20120078631RECOGNITION OF TARGET WORDS USING DESIGNATED CHARACTERISTIC VALUES - Target word recognition includes: obtaining a candidate word set and corresponding characteristic computation data, the candidate word set comprising text data, and characteristic computation data being associated with the candidate word set; performing segmentation of the characteristic computation data to generate a plurality of text segments; combining the plurality of text segments to form a text data combination set; determining an intersection of the candidate word set and the text data combination set, the intersection comprising a plurality of text data combinations; determining a plurality of designated characteristic values for the plurality of text data combinations; based at least in part on the plurality of designated characteristic values and according to at least a criterion, recognizing among the plurality of text data combinations target words whose characteristic values fulfill the criterion.03-29-2012
20120078630Utterance Verification and Pronunciation Scoring by Lattice Transduction - In the field of language learning systems, proper pronunciation of words and phrases is an integral aspect of language learning, determining the proximity of the language learner's pronunciation to a standardized, i.e. ‘perfect’, pronunciation is utilized to guide the learner from imperfect toward perfect pronunciation. In this regard, a phoneme lattice scoring system is utilized, whereby an input from a user is transduced into the perfect pronunciation example in a phoneme lattice. The cost of this transduction may be determined based on a summation of substitutions, deletions and insertions of phonemes needed to transducer from the input to the perfect pronunciation of the utterance.03-29-2012
20090222266APPARATUS, METHOD, AND RECORDING MEDIUM FOR CLUSTERING PHONEME MODELS - A phoneme model clustering apparatus stores a classification condition of a phoneme context, generates a cluster by performing a clustering of context-dependent phoneme models having different acoustic characteristics of central phoneme for each model having a common central phoneme according to the classification condition, sets a conditional response for each cluster according to acoustic characteristics of context-dependent phoneme models included in the cluster, generates a set of clusters by performing a clustering on clusters according to the conditional response, and outputs the context-dependent phoneme models included in the set of clusters.09-03-2009
20120197644INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND PROGRAM - An information processing apparatus, information processing method, and computer readable non-transitory storage medium for analyzing words reflecting information that is not explicitly recognized verbally. An information processing method includes the steps of: extracting speech data and sound data used for recognizing phonemes included in the speech data as words; identifying a section surrounded by pauses within a speech spectrum of the speech data; performing sound analysis on the identified section to identify a word in the section; generating prosodic feature values for the words; acquiring frequencies of occurrence of the word within the speech data; calculating a degree of fluctuation within the speech data for the prosodic feature values of high frequency words where the high frequency words are any words whose frequency of occurrence meets a threshold; and determining a key phrase based on the degree of fluctuation.08-02-2012
20100161335METHOD AND SYSTEM FOR DETECTING A RELEVANT UTTERANCE - A method and apparatus for detecting use of an utterance. A voice session including voice signals generated during a conversation between a first participant and a second participant is monitored by a speech analytics processor. The speech analytics processor detects the use of an utterance. A speech recognition processor channel selected from a pool of speech recognition processor channels and is coupled to the voice session. The speech recognition processor provided speech recognition services to a voice-enabled application. The speech recognition processor channel is then decoupled from the voice session. The speech analytics processor continues to monitor the conversation for subsequent use of the utterance.06-24-2010
20100217598SPEECH RECOGNITION SYSTEM, SPEECH RECOGNITION RESULT OUTPUT METHOD, AND SPEECH RECOGNITION RESULT OUTPUT PROGRAM - A speech recognition system in which, even when the user makes an utterance including a word that satisfies a predetermined condition such as an unknown word, such a fact can be presented to the user, and the user can confirm the fact easily, is provided. The speech recognition system includes a word speech recognition section that converts input speech to a recognition result word sequence by using a predetermined word dictionary for recognition, a syllable recognition section that converts input speech to a recognition result syllable sequence, a segment determination section that determines a segment that corresponds to a predetermined condition which is a ground for estimating that a word in the converted recognition result word sequence is an unknown word, and an output section that obtains a partial syllable sequence from the recognition result syllable sequence corresponding to the determined segment, and outputs one or more word entries, which are in the vicinity of a position at which the partial syllable sequence is arranged in the word dictionary for recognition in which words are arranged in the order defined for word entries, together with the recognition result word sequence.08-26-2010
20130218563SPEECH UNDERSTANDING METHOD AND SYSTEM - A speech recognition system includes a mobile device and a remote server. The mobile device receives the speech from the user and extracts the features and phonemes from the speech. Selected phonemes and measures of uncertainty are transmitted to the server, which processes the phonemes for speech understanding and transmits a text of the speech (or the context or understanding of the speech) back to the mobile device.08-22-2013
20100088098SPEECH RECOGNIZER, SPEECH RECOGNITION METHOD, AND SPEECH RECOGNITION PROGRAM - A speech recognition apparatus includes a speech collating unit that calculates similarities at each time between a feature amount converted by a speech analyzing unit and a word model generated by a word model generating unit. The speech collating unit extracts a word model from word models generated by the word model generating unit, whose minimum similarity among similarities at each time or whose overall similarity obtained from similarities at each time satisfies a second threshold value condition, and whose similarity at each time in a section among vocalization sections of utterance speech and corresponding to either a phoneme or a phoneme string associated with a first threshold value condition satisfies the first threshold value condition, and outputs as a recognition result the recognized word corresponding to the extracted word model.04-08-2010
20100100382Detecting Segments of Speech from an Audio Stream - The disclosure describes a speech detection system for detecting one or more desired speech segments in an audio stream. The speech detection system includes an audio stream input and a speech detection technique. The speech detection technique may be performed in various ways, such as using pattern matching and/or signal processing. The pattern matching implementation may extract features representing types of sounds as in phrases, words, syllables, phonemes and so on. The signal processing implementation may extract spectrally-localized frequency-based features, amplitude-based features, and combinations of the frequency-based and amplitude-based features. Metrics may be obtained and used to determine a desired word in the audio stream. In addition, a keypad stream having keypad entries may be used in determining the desired word.04-22-2010
20120245942Computer-Implemented Systems and Methods for Evaluating Prosodic Features of Speech - Systems and methods are provided for scoring speech. A speech sample is received, where the speech sample is associated with a script. The speech sample is aligned with the script. An event recognition metric of the speech sample is extracted, and locations of prosodic events are detected in the speech sample based on the event recognition metric. The locations of the detected prosodic events are compared with locations of model prosodic events, where the locations of model prosodic events identify expected locations of prosodic events of a fluent, native speaker speaking the script. A prosodic event metric is calculated based on the comparison, and the speech sample is scored using a scoring model based upon the prosodic event metric.09-27-2012
20090112594SYSTEM AND METHOD OF USING ACOUSTIC MODELS FOR AUTOMATIC SPEECH RECOGNITION WHICH DISTINGUISH PRE- AND POST-VOCALIC CONSONANTS - Disclosed are systems, methods and computer readable media for training acoustic models for an automatic speech recognition systems (ASR) system. The method includes receiving a speech signal, defining at least one syllable boundary position in the received speech signal, based on the at least one syllable boundary position, generating for each consonant in a consonant phoneme inventory a pre-vocalic position label and a post-vocalic position label to expand the consonant phoneme inventory, reformulating a lexicon to reflect an expanded consonant phoneme inventory, and training a language model for an automated speech recognition (ASR) system based on the reformulated lexicon.04-30-2009
20080228485AURAL SIMILARITY MEASURING SYSTEM FOR TEXT - The aural similarity measuring system and method provides a measure of the aural similarity between a target text (09-18-2008
20130138441METHOD AND SYSTEM FOR GENERATING SEARCH NETWORK FOR VOICE RECOGNITION - Disclosed is a method of generating a search network for voice recognition, the method including: generating a pronunciation transduction weighted finite state transducer by implementing a pronunciation transduction rule representing a phenomenon of pronunciation transduction between recognition units as a weighted finite state transducer; and composing the pronunciation transduction weighted finite state transducer and one or more weighted finite state transducers.05-30-2013
20090063151KEYWORD SPOTTING USING A PHONEME-SEQUENCE INDEX - In some aspects, a wordspotter is used to locate occurrences in an audio corpus of each of a set of predetermined subword units, which may be phoneme sequences. To locate a query (e.g., a keyword or phrase) in the audio corpus, constituent subword units in the query are indentified and then locations of those subwords are determined based on the locations of those subword units determined earlier by the wordspotter, for example, using a pre-built inverted index that maps subword units to their locations.03-05-2009
20110153329Audio Comparison Using Phoneme Matching - Audio comparison using phoneme matching is described, including evaluating audio data associated with a file, identifying a sequence of phonemes in the audio data, associating the file with a product category based on a match indicating the sequence of phonemes is substantially similar to another sequence of phonemes, the file being stored, and accessing the file when a request associated with the product category is detected.06-23-2011
20130191129Information Processing Device, Large Vocabulary Continuous Speech Recognition Method, and Program - System and method for performing speech recognition using acoustic invariant structure for large vocabulary continuous speech. An information processing device receives sound as input and performs speech recognition. The information processing device includes: a speech recognition processing unit for outputting a speech recognition score, a structure score calculation unit for calculation of a structure score that is a score that, with respect for each hypothesis concerning all phoneme pairs comprising the hypothesis, is found by applying phoneme pair-by-pair weighting to phoneme pair inter-distribution distance likelihood and then performing summation, and a ranking unit for ranking the multiple hypotheses based on a sum value of speech recognition score and structure score.07-25-2013
20110251844GRAPHEME-TO-PHONEME CONVERSION USING ACOUSTIC DATA - Described is the use of acoustic data to improve grapheme-to-phoneme conversion for speech recognition, such as to more accurately recognize spoken names in a voice-dialing system. A joint model of acoustics and graphonemes (acoustic data, phonemes sequences, grapheme sequences and an alignment between phoneme sequences and grapheme sequences) is described, as is retraining by maximum likelihood training and discriminative training in adapting graphoneme model parameters using acoustic data. Also described is the unsupervised collection of grapheme labels for received acoustic data, thereby automatically obtaining a substantial number of actual samples that may be used in retraining. Speech input that does not meet a confidence threshold may be filtered out so as to not be used by the retrained model.10-13-2011
20120065975SYSTEM AND METHOD FOR PRONUNCIATION MODELING - Systems, computer-implemented methods, and tangible computer-readable media for generating a pronunciation model. The method includes identifying a generic model of speech composed of phonemes, identifying a family of interchangeable phonemic alternatives for a phoneme in the generic model of speech, labeling the family of interchangeable phonemic alternatives as referring to the same phoneme, and generating a pronunciation model which substitutes each family for each respective phoneme. In one aspect, the generic model of speech is a vocal tract length normalized acoustic model. Interchangeable phonemic alternatives can represent a same phoneme for different dialectal classes. An interchangeable phonemic alternative can include a string of phonemes.03-15-2012
20090177472APPARATUS, METHOD, AND PROGRAM FOR CLUSTERING PHONEMIC MODELS - A node initializing unit generates a root node including inputted phonemic models. A candidate generating unit generates candidates of a pair of child sets by partitioning a set of phonemic models included in a node having no child node into two. A candidate deleting unit deletes candidates each including only phonemic models attached with determination information indicating that at least one of the child sets has a small amount of speech data for training. A similarity calculating unit calculates a sum of similarities among the phonemic models included in the child sets. A candidate selecting unit selects one of the candidates having a largest sum. A node generating unit generates two nodes including the two child sets included in the selected candidate, respectively. A clustering unit clusters the phonemic models in units of phonemic model sets each included in a node.07-09-2009
20090138266APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT FOR RECOGNIZING SPEECH - A contiguous word recognizing unit recognizes speech as a morpheme string, based on an acoustic model and a language model. A sentence obtaining unit obtains an exemplary sentence related to the speech out of a correct sentence storage unit. Based on the degree of matching, a sentence correspondence bringing unit brings first morphemes contained in the recognized morpheme string into correspondence with second morphemes contained in the obtained exemplary sentence. A disparity detecting unit detects one or more of the first morphemes each of which does not match the corresponding one of the second morphemes as disparity portions. A cause information obtaining unit obtains output information that corresponds to a condition satisfied by each of the disparity portions out of a cause information storage unit. An output unit outputs the obtained output information.05-28-2009
20110054901METHOD AND APPARATUS FOR ALIGNING TEXTS - A method and apparatus for aligning texts. The method includes acquiring a target text and a reference text and aligning the target text and the reference text at word level based on phoneme similarity. The method can be applied to automatically archiving a multimedia resource and a method of automatically searching a multimedia resource.03-03-2011
20100324900Searching in Audio Speech - A computerized method of detecting a target word in a speech signal. A speech recognition engine and a previously constructed phoneme model is provided. The speech signal is input into the speech recognition engine. Based on the phoneme model, the input speech signal is indexed. A time-ordered list is stored representing n-best phoneme candidates of the input speech signal and phonemes of the input speech signal in multiple phoneme frames. The target word is transcribed into a transcription of target phonemes. The time-ordered list of n-best phoneme candidates is searched for a locus of said target phonemes. While searching, scoring is based on the ranking of the phoneme candidates among the n-best phoneme candidates and based on the number of the target phonemes found. A composite score of the probability of an occurrence of the target word is produced. When the composite score is higher than a threshold, start and finish times are output which bound the locus. The start and finish times are input into an algorithm adapted for sequence alignment based on dynamic programming for aligning a portion of the phoneme frames with the target phonemes.12-23-2010
20100121643MELODIS CRYSTAL DECODER METHOD AND DEVICE - The technology disclosed relates to a system and method for fast, accurate and parallelizable speech search, called Crystal Decoder. It is particularly useful for search applications, as opposed to dictation. It can achieve both speed and accuracy, without sacrificing one for the other. It can search different variations of records in the reference database without a significant increase in elapsed processing time. Even the main decoding part can be parallelized as the number of words increase to maintain a fast response time.05-13-2010
20090216535Engine For Speech Recognition - A computerized method for speech recognition in a computer system. Reference word segments are stored in memory. The reference word segments when concatenated form spoken words in a language. Each of the reference word segments is a combination of at least two phonemes, including a vowel sound in the language. A temporal speech signal is input and digitized to produced a digitized temporal speech signal The digitized temporal speech signal is transformed piecewise into the frequency domain to produce a time and frequency dependent transform function. The energy spectral density of the temporal speech signal is proportional to the absolute value squared of the transform function. The energy spectral density is cut into input time segments of the energy spectral density. Each of the input time segments includes at least two phonemes including at least one vowel sound of the temporal speech signal. For each of the input time segments, (i) a fundamental frequency is extracted from the energy spectral density during the input time segment, (ii) a target segment is selected from the reference segments and thereby a target energy spectral density of the target segment is input. A correlation between the energy spectral density during the time segment and the target energy spectral density of the target segment is performed after calibrating the fundamental frequency to the target energy spectral density thereby improving the correlation.08-27-2009
20080215328METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING MORPHEMES IN A TASK CLASSIFICATION SYSTEM USING LATTICES - The invention concerns a method and system for detecting morphemes in a user's communication. The method may include recognizing a lattice of phone strings from the user's input communication, the lattice representing a distribution over the phone strings, and detecting morphemes in the user's input communication using the lattice. The morphemes may be acoustic and/or non-acoustic. The morphemes may represent any unit or sub-unit of communication including phones, diphones, phone-phrases, syllables, grammars, words, gestures, tablet strokes, body movements, mouse clicks, etc. The training speech may be verbal, non-verbal, a combination of verbal and non-verbal, or multimodal.09-04-2008
20090048838System and method for client voice building - Provided is a system and method for building and managing a customized voice of an end-user, comprising the steps of designing a set of prompts for collection from the user, wherein the prompts are selected from both an analysis tool and by the user's own choosing to capture voice characteristics unique to the user. The prompts are delivered to the user over a network to allow the user to save a user recording on a server of a service provider. This recording is then retrieved and stored on the server and then set up on the server to build a voice database using text-to-speech synthesis tools. A graphical interface allows the user to continuously refine the data file to improve the voice and customize parameter and configuration settings, thereby forming a customized voice database which can be deployed or accessed.02-19-2009
20090281807VOICE QUALITY CONVERSION DEVICE AND VOICE QUALITY CONVERSION METHOD - A voice quality conversion device converts voice quality of an input speech using information of the speech. The device includes: a target vowel vocal tract information hold unit (11-12-2009
20120116768Systems and Methods for Extracting Meaning from Multimodal Inputs Using Finite-State Devices - Multimodal utterances contain a number of different modes. These modes can include speech, gestures, and pen, haptic, and gaze inputs, and the like. This invention use recognition results from one or more of these modes to provide compensation to the recognition process of one or more other ones of these modes. In various exemplary embodiments, a multimodal recognition system inputs one or more recognition lattices from one or more of these modes, and generates one or more models to be used by one or more mode recognizers to recognize the one or more other modes. In one exemplary embodiment, a gesture recognizer inputs a gesture input and outputs a gesture recognition lattice to a multimodal parser. The multimodal parser generates a language model and outputs it to an automatic speech recognition system, which uses the received language model to recognize the speech input that corresponds to the recognized gesture input.05-10-2012
20110166860SPOKEN MOBILE ENGINE - Systems and methods are disclosed to operate a mobile device by capturing user input; transmitting the user input over a wireless channel to an engine, analyzing at the engine music clip or video in a multimedia data stream and sending an analysis wirelessly to the mobile device.07-07-2011
20090313019EMOTION RECOGNITION APPARATUS - An emotion recognition apparatus is capable of performing accurate and stable speech-based emotion recognition, irrespective of individual, regional, and language differences of prosodic information. The emotion recognition apparatus is an apparatus for recognizing an emotion of a speaker from an input speech, and includes: a speech recognition unit (12-17-2009
20120059656Speech Signal Similarity - A method for determining a similarity between a first audio source and a second audio source includes: for the first audio source, determining a first frequency of occurrence for each of a plurality of phoneme sequences and determining a first weighted frequency for each of the plurality of phoneme sequences based on the first frequency of occurrence for the phoneme sequence; for the second audio source, determining a second frequency of occurrence for each of a plurality of phoneme sequences and determining a second weighted frequency for each of the plurality of phoneme sequences based on the second frequency of occurrence for the phoneme sequence; comparing the first weighted frequency for each phoneme sequence with the second weighted frequency for the corresponding phoneme sequence; and generating a similarity score representative of a similarity between the first audio source and the second audio source based on the results of the comparing.03-08-2012
20120116766METHOD AND APPARATUS FOR LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION - A method and apparatus combining the advantages of phonetic search such as the rapid implementation and deployment and medium accuracy, with the advantages of speech to text, including providing the full text of the audio and rapid search.05-10-2012
20110093270REPLACING AN AUDIO PORTION - A method includes identifying a first syllable in a first audio of a first word and a second syllable in a second audio of a second word, the first syllable having a first set of properties and the second syllable having a second set of properties; detecting the first syllable in a first instance of the first word in an audio file, the first syllable in the first instance having a third set of properties; determining one or more transformations for transforming the first set of properties to the third set of properties; applying the one or more transformations to the second set of properties of the second syllable to yield a transformed second syllable; and replacing the first syllable in the first instance of the first word with the transformed second syllable in the audio file.04-21-2011
20120116767METHOD AND SYSTEM OF SPEECH EVALUATION - A method is provided for user speech performance evaluation with respect to a reference performance for which a phoneme mark-up is available. The method includes capturing input speech from the user and formatting it as frames. For a respective frame of the input speech, the method generates probability values for a plurality of phonemes, generates a probability value for a phoneme class based upon the generated probability values for a plurality of phonemes belonging to that phoneme class. For a plurality of frames of the input speech, the method further includes averaging the phoneme class probability values corresponding to the plurality of frames of the input speech. The method also includes calculating a user speech performance score based upon the average.05-10-2012
20110066437METHODS AND APPARATUS TO MONITOR MEDIA EXPOSURE USING CONTENT-AWARE WATERMARKS - Methods and apparatus to construct and transmit content-aware watermarks are disclosed herein. An example method of creating a content-aware watermark includes selecting at least one word associated with a media composition; representing the word with at least one phonetic notation; obtaining a proxy code for each phonetic notation; and locating the proxy code in the content-aware watermark.03-17-2011
20100094630ASSOCIATING SOURCE INFORMATION WITH PHONETIC INDICES - The present invention relates to creating a phonetic index of phonemes from an audio segment that includes speech content from multiple sources. The phonemes in the phonetic index are directly or indirectly associated with the corresponding source of the speech from which the phonemes were derived. By associating the phonemes with a corresponding source, the phonetic index of speech content from multiple sources may be searched based on phonetic content as well as the corresponding source.04-15-2010
20120316879SYSTEM FOR DETECTING SPEECH INTERVAL AND RECOGNIZING CONTINOUS SPEECH IN A NOISY ENVIRONMENT THROUGH REAL-TIME RECOGNITION OF CALL COMMANDS - A continuous speech recognition system to recognize continuous speech smoothly in a noisy environment. The system selects call commands, configures a minimum recognition network in token, which consists of the call commands and mute intervals including noises, recognizes the inputted speech continuously in real time, analyzes the reliability of speech recognition continuously and recognizes the continuous speech from a speaker. When a speaker delivers a call command, the system for detecting the speech interval and recognizing continuous speech in a noisy environment through the real-time recognition of call commands measures the reliability of the speech after recognizing the call command, and recognizes the speech from the speaker by transferring the speech interval following the call command to a continuous speech-recognition engine at the moment when the system recognizes the call command.12-13-2012
20090132251SPOKEN DOCUMENT RETRIEVAL SYSTEM - The present invention provides a spoken document retrieval system capable of high-speed and high-accuracy retrieval of where a user-specified keyword is uttered from spoken documents, even if the spoken documents are large in amount. Candidate periods are narrowed down in advance on the basis of a sequence of subwords generated from a keyword, and then the count values of the candidate periods containing the subwords are each calculated by adding up certain values. Through such simple process, the candidate periods are prioritized and then selected as retrieved results. In addition, the sequence of subwords generated from the keyword is complemented assuming that speech recognition errors occur, and then, candidate period generation and selection are performed on the basis of the complemented sequence of subwords.05-21-2009
20120271635SPEECH RECOGNITION BASED ON PRONUNCIATION MODELING - A system and method for performing speech recognition is disclosed. The method comprises receiving an utterance, applying the utterance to a recognizer with a language model having pronunciation probabilities associated with unique word identifiers for words given their pronunciations and presenting a recognition result for the utterance. Recognition improvement is found by moving a pronunciation model from a dictionary to the language model.10-25-2012
20120166196Word-Dependent Language Model - This document describes word-dependent language models, as well as their creation and use. A word-dependent language model can permit a speech-recognition engine to accurately verify that a speech utterance matches a multi-word phrase. This is useful in many contexts, including those where one or more letters of the expected phrase are known to the speaker.06-28-2012
20120136662SPEECH RECOGNITION SYSTEM WITH HUGE VOCABULARY - The invention deals with speech recognition, such as a system for recognizing words in continuous speech. A speech recognition system is disclosed which is capable of recognizing a huge number of words, and in principle even an unlimited number of words. The speech recognition system comprises a word recognizer for deriving a best path through a word graph, and wherein words are assigned to the speech based on the best path. The word score being obtained from applying a phonemic language model to each word of the word graph. Moreover, the invention deals with an apparatus and a method for identifying words from a sound block and to computer readable code for implementing the method.05-31-2012
20120136660VOICE-ESTIMATION BASED ON REAL-TIME PROBING OF THE VOCAL TRACT - A voice-estimation device that probes the vocal tract of a user with sub-threshold acoustic waves to estimate the user's voice while the user speaks silently or audibly in a noisy or socially sensitive environment. The waves reflected by the vocal tract are detected and converted into a digital signal, which is then processed segment-by-segment. Based on the processing, a set of formant frequencies is determined for each segment. Each such set is then analyzed to assign a phoneme to the corresponding segment of the digital signal. The resulting sequence of phonemes is converted into a digital audio signal or text representing the user's estimated voice.05-31-2012
20120136661CONVERTING TEXT INTO SPEECH FOR SPEECH RECOGNITION - The present invention discloses converting a text form into a speech. In the present invention, partial word lists of a data source are obtained by parsing the data source in parallel or in series. The partial word lists are then compiled to obtain phoneme graphs corresponding, respectively, to the partial word lists, and then the obtained phoneme graphs are combined. Speech recognition is then conducted according to the combination results. According to the present invention, computational complexity may be reduced and recognition efficiency may be improved during speech recognition.05-31-2012
20110184737SPEECH RECOGNITION APPARATUS, SPEECH RECOGNITION METHOD, AND SPEECH RECOGNITION ROBOT - A speech recognition apparatus includes a speech input unit that receives input speech, a phoneme recognition unit that recognizes phonemes of the input speech and generates a first phoneme sequence representing corrected speech, a matching unit that matches the first phoneme sequence with a second phoneme sequence representing original speech, and a phoneme correcting unit that corrects phonemes of the second phoneme sequence based on the matching result.07-28-2011
20120253813SPEECH SEGMENT DETERMINATION DEVICE, AND STORAGE MEDIUM - A speech segment determination device includes a frame division portion, a power spectrum calculation portion, a power spectrum operation portion, a spectral entropy calculation portion and a determination portion. The frame division portion divides an input signal in units of frames. The power spectrum calculation portion calculates, using an analysis length, a power spectrum of the input signal for each of the frames that have been divided. The power spectrum operation portion adds a value of the calculated power spectrum to a value of power spectrum in each of frequency bins. The spectral entropy calculation portion calculates spectral entropy using the power spectrum whose value has been increased. The determination portion determines, based on a value of the spectral entropy, whether the input signal is a signal in a speech segment.10-04-2012
20120173240Subspace Speech Adaptation - Subspace speech adaptation may be utilized for facilitating the recognition of speech containing short utterances. Speech training data may be received in a speech model by a computer. A first matrix may be determined for preconditioning speech statistics based on the speech training data. A second matrix may be determined for representing a basis for the speech to be recognized. A set of basis matrices may then be determined from the first matrix and the second matrix. Speech test data including a short utterance may then be received by the computer. The computer may then apply the set of basis matrices to the speech test data to produce a transcription. The transcription may represent speech recognition of the short utterance.07-05-2012
20120253812SPEECH SYLLABLE/VOWEL/PHONE BOUNDARY DETECTION USING AUDITORY ATTENTION CUES - In syllable or vowel or phone boundary detection during speech, an auditory spectrum may be determined for an input window of sound and one or more multi-scale features may be extracted from the auditory spectrum. Each multi-scale feature can be extracted using a separate two-dimensional spectro-temporal receptive filter. One or more feature maps corresponding to the one or more multi-scale features can be generated and an auditory gist vector can be extracted from each of the one or more feature maps. A cumulative gist vector may be obtained through augmentation of each auditory gist vector extracted from the one or more feature maps. One or more syllable or vowel or phone boundaries in the input window of sound can be detected by mapping the cumulative gist vector to one or more syllable or vowel or phone boundary characteristics using a machine learning algorithm.10-04-2012
20120215539HYBRIDIZED CLIENT-SERVER SPEECH RECOGNITION - A recipient computing device can receive a speech utterance to be processed by speech recognition and segment the speech utterance into two or more speech utterance segments, each of which can be to one of a plurality of available speech recognizers. A first one of the plurality of available speech recognizers can be implemented on a separate computing device accessible via a data network. A first segment can be processed by the first recognizer and the results of the processing returned to the recipient computing device, and a second segment can be processed by a second recognizer implemented at the recipient computing device.08-23-2012
20100049518SYSTEM FOR PROVIDING CONSISTENCY OF PRONUNCIATIONS - A system for providing consistency between the pronunciation of a word by a user and a confirmation pronunciation issued by a voice server (02-25-2010
20120232904METHOD AND APPARATUS FOR CORRECTING A WORD IN SPEECH INPUT TEXT - A method and apparatus for correcting a named entity word in a speech input text. The method includes recognizing a speech input signal from a user, obtaining a recognition result including named entity vocabulary mark-up information, determining a named entity word recognized incorrectly in the recognition result according to the named entity vocabulary mark-up information, displaying the named entity word recognized incorrectly, and correcting the named entity word recognized incorrectly.09-13-2012
20120316880INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING SYSTEM, AND PROGRAM - An information processing apparatus, information processing method, and computer readable non-transitory storage medium for analyzing words reflecting information that is not explicitly recognized verbally. An information processing method includes the steps of: extracting speech data and sound data used for recognizing phonemes included in the speech data as words; identifying a section surrounded by pauses within a speech spectrum of the speech data; performing sound analysis on the identified section to identify a word in the section; generating prosodic feature values for the words; acquiring frequencies of occurrence of the word within the speech data; calculating a degree of fluctuation within the speech data for the prosodic feature values of high frequency words where the high frequency words are any words whose frequency of occurrence meets a threshold; and determining a key phrase based on the degree of fluctuation.12-13-2012
20120239403Downsampling Schemes in a Hierarchical Neural Network Structure for Phoneme Recognition - An approach for phoneme recognition is described. A sequence of intermediate output posterior vectors is generated from an input sequence of cepstral features using a first layer perceptron. The intermediate output posterior vectors are then downsampled to form a reduced input set of intermediate posterior vectors for a second layer perceptron. A sequence of final posterior vectors is generated from the reduced input set of intermediate posterior vectors using the second layer perceptron. Then the final posterior vectors are decoded to determine an output recognized phoneme sequence representative of the input sequence of cepstral features.09-20-2012
20120265531Speech based learning/training system using semantic decoding - An intelligent query system for processing voiced-based queries is disclosed, which uses semantic based processing to identify the question posed by the user by understanding the meaning of the users utterance. Based on identifying the meaning of the utterance, the system selects a single answer that best matches the user's query. The answer that is paired to this single question is then retrieved and presented to the user. The system, as implemented, accepts environmental variables selected by the user and is scalable to provide answers to a variety and quantity of user-initiated queries.10-18-2012
20120323577SPEECH RECOGNITION FOR PREMATURE ENUNCIATION - Methods of automatic speech recognition for premature enunciation. In one method, a) a user is prompted to input speech, then b) a listening period is initiated to monitor audio via a microphone, such that there is no pause between the end of step a) and the beginning of step b), and then the begin-speaking audible indicator is communicated to the user during the listening period. In another method, a) at least one audio file is played including both a prompt for a user to input speech and a begin-speaking audible indicator to the user, b) a microphone is activated to monitor audio, after playing the prompt but before playing the begin-speaking audible indicator in step a), and c) speech is received from the user via the microphone.12-20-2012
20120278079COMPRESSED PHONETIC REPRESENTATION - An audio processing system makes use of a number of levels of compression or data reduction, thereby providing reduced storage requirements while maintaining a high accuracy of keyword detection in the original audio input.11-01-2012
20120089398METHODS AND SYSTEMS FOR IMPROVING TEXT SEGMENTATION - Methods and systems for improving text segmentation are disclosed. In one embodiment, at least a first segmented result and a second segmented result are determined from a string of characters, a first frequency of occurrence for the first segmented result and a second frequency of occurrence for the second segmented result are determined, and an operable segmented result is identified from the first segmented result and the second segmented result based at least in part on the first frequency of occurrence and the second frequency of occurrence.04-12-2012
20110320203METHOD AND SYSTEM FOR IDENTIFYING AND CORRECTING ACCENT-INDUCED SPEECH RECOGNITION DIFFICULTIES - A system for use in speech recognition includes an acoustic module accessing a plurality of distinct-language acoustic models, each based upon a different language; a lexicon module accessing at least one lexicon model; and a speech recognition output module. The speech recognition output module generates a first speech recognition output using a first model combination that combines one of the plurality of distinct-language acoustic models with the at least one lexicon model. In response to a threshold determination, the speech recognition output module generates a second speech recognition output using a second model combination that combines a different one of the plurality of distinct-language acoustic models with the at least one distinct-language lexicon model.12-29-2011
20120101823SYSTEM AND METHOD FOR RECOGNIZING PROPER NAMES IN DIALOG SYSTEMS - Embodiments of a dialog system that utilizes contextual information to perform recognition of proper names are described. Unlike present name recognition methods on large name lists that generally focus strictly on the static aspect of the names, embodiments of the present system take into account of the temporal, recency and context effect when names are used, and formulates new questions to further constrain the search space or grammar for recognition of the past and current utterances.04-26-2012
20100125457SYSTEM AND METHOD FOR DISCRIMINATIVE PRONUNCIATION MODELING FOR VOICE SEARCH - Disclosed herein are systems, computer-implemented methods, and computer-readable media for speech recognition. The method includes receiving speech utterances, assigning a pronunciation weight to each unit of speech in the speech utterances, each respective pronunciation weight being normalized at a unit of speech level to sum to 1, for each received speech utterance, optimizing the pronunciation weight by (1) identifying word and phone alignments and corresponding likelihood scores, and (2) discriminatively adapting the pronunciation weight to minimize classification errors, and recognizing additional received speech utterances using the optimized pronunciation weights. A unit of speech can be a sentence, a word, a context-dependent phone, a context-independent phone, or a syllable. The method can further include discriminatively adapting pronunciation weights based on an objective function. The objective function can be maximum mutual information (MMI), maximum likelihood (MLE) training, minimum classification error (MCE) training, or other functions known to those of skill in the art. Speech utterances can be names. The speech utterances can be received as part of a multimodal search or input. The step of discriminatively adapting pronunciation weights can further include stochastically modeling pronunciations.05-20-2010
20130179169CHINESE TEXT READABILITY ASSESSING SYSTEM AND METHOD - A Chinese text readability assessing system analyzes and evaluates the readability of text data. A word segmentation module compares the text data with a corpus to obtain a plurality of word segments from the text data and provide part-of-speech settings corresponding to the word segments. A readability index analysis module analyzes the word segments and the part-of-speech settings based on readability indices to calculate index values of the readability indices in the text data. The index values are inputted to a readability mathematical model in a knowledge-evaluated training module, and the readability mathematical model produces a readability analysis result. Accordingly, the Chinese text readability assessing system of the present invention evaluates the readability of Chinese texts by word segmentation and the readability indices analysis in conjunction with the readability mathematical model.07-11-2013
20110313769Method and System for Automatically Detecting Morphemes in a Task Classification System Using Lattices - In an embodiment, a lattice of phone strings in an input communication of a user may be recognized, wherein the lattice may represent a distribution over the phone strings. Morphemes in the input communication of the user may be detected using the recognized lattice. Task-type classification decisions may be made based on the detected morphemes in the input communication of the user.12-22-2011
20130124205Providing Programming Information in Response to Spoken Requests - A system allows a user to obtain information about television programming and to make selections of programming using conversational speech. The system includes a speech recognizer that recognizes spoken requests for television programming information. A speech synthesizer generates spoken responses to the spoken requests for television programming information. A user may use a voice user interface as well as a graphical user interface to interact with the system to facilitate the selection of programming choices.05-16-2013
20080201147Distributed speech recognition system and method and terminal and server for distributed speech recognition - Provided are a distributed speech recognition system, a distributed speech recognition speech method, and a terminal and a server for distributed speech recognition. The distributed speech recognition system includes a terminal which decodes a feature vector that is extracted from an input speech signal into a sequence of phonemes and generates the final recognition result by rescoring a candidate list provided from the outside; and a server which generates the candidate list by performing symbol matching on the recognized sequence of phonemes provided from the terminal and transmits the candidate list for the rescoring to the terminal.08-21-2008
20130159000Spoken Utterance Classification Training for a Speech Recognition System - The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.06-20-2013
20130185073SPEECH RECOGNITION SYSTEM WITH HUGE VOCABULARY - The invention deals with speech recognition, such as a system for recognizing words in continuous speech. A speech recognition system is disclosed which is capable of recognizing a huge number of words, and in principle even an unlimited number of words. The speech recognition system comprises a word recognizer for deriving a best path through a word graph, and wherein words are assigned to the speech based on the best path. The word score being obtained from applying a phonemic language model to each word of the word graph. Moreover, the invention deals with an apparatus and a method for identifying words from a sound block and to computer readable code for implementing the method.07-18-2013
20130191128CONTINUOUS PHONETIC RECOGNITION METHOD USING SEMI-MARKOV MODEL, SYSTEM FOR PROCESSING THE SAME, AND RECORDING MEDIUM FOR STORING THE SAME - A continuous phonetic recognition method using semi-Markov model, a system for processing the method, and a recording medium for storing the method. In and embodiment of the phonetic recognition method of recognizing phones using a speech recognition system, a phonetic data recognition device receives speech, and a phonetic data processing device recognizes phones from the received speech using a semi-Markov model.07-25-2013

Patent applications in class Subportions