Class / Patent application number | Description | Number of patent applications / Date published |
704250000 | Specialized models | 38 |
20080208581 | Model Adaptation System and Method for Speaker Recognition - A system and method for speaker recognition speaker modelling whereby prior speaker information is incorporated into the modelling process, utilising the maximum a posteriori (MAP) algorithm and extending it to contain prior Gaussian component correlation information. Firstly a background model ( | 08-28-2008 |
20080249774 | METHOD AND APPARATUS FOR SPEECH SPEAKER RECOGNITION - Disclosed is a method for speech speaker recognition of a speech speaker recognition apparatus, the method including detecting effective speech data from input speech; extracting an acoustic feature from the speech data; generating an acoustic feature transformation matrix from the speech data according to each of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), mixing each of the acoustic feature transformation matrixes to construct a hybrid acoustic feature transformation matrix, and multiplying the matrix representing the acoustic feature with the hybrid acoustic feature transformation matrix to generate a final feature vector; and generating a speaker model from the final feature vector, comparing a pre-stored universal speaker model with the generated speaker model to identify the speaker, and verifying the identified speaker. | 10-09-2008 |
20080255843 | Voice recognition system and method - The invention provides a method of voice recognition, and the method includes the steps of: obtaining a current position information, obtaining a current voice model according to the current position information; and performing voice recognition according to the current voice model. Particularly, the current position information can be obtained according to network address information, or by a global positioning system. | 10-16-2008 |
20080270132 | METHOD AND SYSTEM TO IMPROVE SPEAKER VERIFICATION ACCURACY BY DETECTING REPEAT IMPOSTERS - A system and method for identifying an individual includes collecting biometric information for an individual attempting to gain access to a system. The biometric information for the individual is scored against pre-trained imposter models. If a score is greater than a threshold, the individual as an imposter is identified as an imposter. Other systems and methods are also disclosed. | 10-30-2008 |
20080281595 | VOICE RECOGNITION APPARATUS AND METHOD - According to an embodiment, voice recognition apparatus includes units of: acoustic processing, voice interval detecting, dictionary, collating, search target selecting, storing and determining, and voice recognition method includes processes of: selecting a search range on basis of abeam search, setting and storing a standard frame, storing an output probability of a certain transition path, determining whether or not the output probability of a certain path is stored. Number of times of calculation of the output probability is reduced by selecting the search range on basis of the beam search, calculating the output probability of the certain transition path only once in an interval from when the standard frame is set to when the standard frame is renewed, and storing and using thus calculated value as an approximate value of the output probability in subsequent frames. | 11-13-2008 |
20090063146 | Voice Processing Device and Program - In a voice processing device, a male voice index calculator calculates a male voice index indicating a similarity of the input sound relative to a male speaker sound model. A female voice index calculator calculates a female voice index indicating a similarity of the input sound relative to a female speaker sound model. A first discriminator discriminates the input sound between a non-human-voice sound and a human voice sound which may be either of the male voice sound or the female voice sound. A second discriminator discriminates the input sound between the male voice sound and the female voice sound based on the male voice index and the female voice index in case that the first discriminator discriminates the human voice sound. | 03-05-2009 |
20090106025 | SPEAKER MODEL REGISTERING APPARATUS AND METHOD, AND COMPUTER PROGRAM - EN) A speaker recognition system ( | 04-23-2009 |
20090144058 | Restoration of high-order Mel Frequency Cepstral Coefficients - A method for estimating high-order Mel Frequency Cepstral Coefficients, the method comprising initializing any of N-L high-order coefficients (HOC) of an MFCC vector of length N having L low-order coefficients (LOC) to a predetermined value, thereby forming a candidate MFCC vector, synthesizing a speech signal frame from the candidate MFCC vector and a pitch value, and computing an N-dimensional MFCC vector from the synthesized frame, thereby producing an output MFCC vector. | 06-04-2009 |
20090171661 | METHOD FOR ASSESSING PRONUNCIATION ABILITIES - Techniques for assessing pronunciation abilities of a user are provided. The techniques include recording a sentence spoken by a user, performing a classification of the spoken sentence, wherein the classification is performed with respect to at least one N-ordered class, and wherein the spoken sentence is represented by a set of at least one acoustic feature extracted from the spoken sentence, and determining a score based on the classification, wherein the score is used to determine an optimal set of at least one question to assess pronunciation ability of the user without human intervention. | 07-02-2009 |
20090182561 | SPEECH RECOGNITION DEVICE AND METHOD THEREOF - A speech recognition device and a method thereof are adapted to recognize a Chinese word. The speech recognition device includes a lexicon model, a language model, a speech recognition module, and a parsing module. The lexicon model keeps a plurality of words. The speech recognition module performs a speech recognition processing on a voice signal conforming to a syntax structure of Chinese word description. The speech recognition processing searches words related to the Chinese word description from the lexicon model according to a feature of the Chinese word description, and produces a literal word series in digital data form by referring a syntax combination probability. The language model based on the syntax structure of Chinese word description provides the syntax combination probability according to combination relations between the searched words. The parsing module analyzes the syntax structure of the literal word series for retrieving the Chinese word. | 07-16-2009 |
20090299744 | VOICE RECOGNITION APPARATUS AND METHOD THEREOF - A voice recognition apparatus determines whether an input sound is a voice segment or a non-voice segment in time series, generates a word model for the voice segment, allocates a predetermined non-voice model for the non-voice segment, connects the word model and the non-voice model in sequence according to the time series of the segments of the input sound corresponding to the respective models and generates a vocalization model, and coordinates the vocalization model with a vocalization ID in one-to-one correspondence, and stores the same. | 12-03-2009 |
20090313018 | Speaker Characterization Through Speech Analysis - A computer implemented method, data processing system, apparatus and computer program product for determining current behavioral, psychological and speech styles characteristics of a speaker in a given situation and context, through analysis of current speech utterances of the speaker. The analysis calculates different prosodic parameters of the speech utterances, consisting of unique secondary derivatives of the primary pitch and amplitude speech parameters, and compares these parameters with pre-obtained reference speech data, indicative of various behavioral, psychological and speech styles characteristics. The method includes the formation of the classification speech parameters reference database, as well as the analysis of the speaker's speech utterances in order to determine the current behavioral, psychological and speech styles characteristics of the speaker in the given situation. | 12-17-2009 |
20100114573 | Method and Device for Verifying a User - A method and electronic device for verifying a user provides for secure speaker verification. The method includes activating a speaker verification process on the electronic device (step | 05-06-2010 |
20100204993 | CONFIDENCE LEVELS FOR SPEAKER RECOGNITION - The present invention relates to a system and method of making a verification decision within a speaker recognition system. A speech sample is gathered from a speaker over a period of time a verification score is then produce for said sample over the period. Once the verification score is determined a confidence measure is produced based on frame score observations from said sample over the period and a confidence measure calculated based on the standard Gaussian distribution. If the confidence measure indicates with a set level of confidence that the verification score is below the verification threshold the speaker is rejected and gathering process terminated. | 08-12-2010 |
20100217595 | Method For Emotion Recognition Based On Minimum Classification Error - Disclosed herein is a method for emotion recognition based on a minimum classification error. In the method, a speaker's neutral emotion is extracted using a Gaussian mixture model (GMM), other emotions except the neutral emotion are classified using the Gaussian Mixture Model to which a discriminative weight for minimizing the loss function of a classification error for the feature vector for emotion recognition is applied. In the emotion recognition, the emotion recognition is performed by applying a discriminative weight evaluated using the Gaussian Mixture Model based on minimum classification error to feature vectors of the emotion classified with difficult, thereby enhancing the performance of emotion recognition. | 08-26-2010 |
20100223057 | METHOD AND SYSTEM TO AUTHENTICATE A USER AND/OR GENERATE CRYPTOGRAPHIC DATA - System and process for audio authentication of an individual or speaker including a processor for decomposing an audio signal received at the sensor into vectors representative of the speaker to be authenticated for transforming the super-vector V of the speaker resulting from the concatenation of the vectors associated with the said speaker into binary data 1001100 . . . 0 taking as an input the mean super-vector M resulting from the mean super-vector, and comparing the super-vector V of the speaker with the mean super-vector M, the said binary data thus obtained being transmitted to a module for extracting the speaker authentication taking as an input the public keys Kpub(1) in order to authenticate the speaker and/or to generate a cryptographic key associated with the speaker. | 09-02-2010 |
20100268538 | ELECTRONIC APPARATUS AND VOICE RECOGNITION METHOD FOR THE SAME - Disclosed are an electronic apparatus and a voice recognition method for the same. The voice recognition method for the electronic apparatus includes: receiving an input voice of a user; determining characteristics of the user; and recognizing the input voice based on the determined characteristics of the user. | 10-21-2010 |
20110077943 | System for generating language model, method of generating language model, and program for language model generation - A first system for generating a language model is a system for generating a language model including: a topic history dependent language model storing unit; a topic history accumulation unit; and a language score calculation unit. In the system for generating the language model, a language score corresponding to history of topics is calculated by the language score calculation unit using history of topics in an utterance accumulated in the topic history accumulation unit and a language model stored in the topic history dependent language model storing unit. The topic history dependent language model storing unit may store a topic history dependent language model dependent on only most recent n topics. The topic history accumulation unit may accumulate only most recent n topics. | 03-31-2011 |
20110119060 | METHOD AND SYSTEM FOR SPEAKER DIARIZATION - A method and system for speaker diarization are provided. Pre-trained acoustic models of individual speaker and/or groups of speakers are obtained. Speech data with multiple speakers is received and divided into frames. For a frame, an acoustic feature vector is determined extended to include log-likelihood ratios of the pre-trained models in relation to a background population model. The extended acoustic feature vector is used in segmentation and clustering algorithms. | 05-19-2011 |
20120010887 | SPEECH RECOGNITION AND VOICE TRAINING DATA STORAGE AND ACCESS METHODS AND APPARATUS - Embodiments include a speech recognition system and a personal speech profile data (PSPD) storage device that is physically distinct from the speech recognition system. In the speech recognition system, a PSPD interface receives voice training data, which is associated with an individual, from the PSPD storage device. A speech input module produces a digital speech signal derived from an utterance made by a system user. A speech processing module accesses voice training data stored on the PSPD storage device through the PSPD interface, and executes a speech processing algorithm that analyzes the digital speech signal using the voice training data, in order to identify one or more recognized terms from the digital speech signal. A command processing module initiates execution of various applications based on the recognized terms. Embodiments may be implemented in various types of host systems, including an aircraft cockpit-based system. | 01-12-2012 |
20120116763 | VOICE DATA ANALYZING DEVICE, VOICE DATA ANALYZING METHOD, AND VOICE DATA ANALYZING PROGRAM - A voice data analyzing device comprises speaker model deriving means which derives speaker models as models each specifying character of voice of each speaker from voice data including a plurality of utterances to each of which a speaker label as information for identifying a speaker has been assigned and speaker co-occurrence model deriving means which derives a speaker co-occurrence model as a model representing the strength of co-occurrence relationship among the speakers from session data obtained by segmenting the voice data in units of sequences of conversation by use of the speaker models derived by the speaker model deriving means. | 05-10-2012 |
20120221335 | METHOD AND APPARATUS FOR CREATING VOICE TAG - According to one embodiment, the method may include constructing a first voice tag for registration speech based on Hidden Markov acoustic model (HMM), constructing a second voice tag for the registration speech based on template matching, and combining the first voice tag and the second voice tag to construct voice tag of the registration speech. | 08-30-2012 |
20120221336 | SPEAKER CHARACTERIZATION THROUGH SPEECH ANALYSIS - A computer implemented method, data processing system, apparatus and computer program product for determining current behavioral, psychological and speech styles characteristics of a speaker in a given situation and context, through analysis of current speech utterances of the speaker. The analysis calculates different prosodic parameters of the speech utterances, consisting of unique secondary derivatives of the primary pitch and amplitude speech parameters, and compares these parameters with pre-obtained reference speech data, indicative of various behavioral, psychological and speech styles characteristics. The method includes the formation of the classification speech parameters reference database, as well as the analysis of the speaker's speech utterances in order to determine the current behavioral, psychological and speech styles characteristics of the speaker in the given situation. | 08-30-2012 |
20120239401 | VOICE RECOGNITION SYSTEM AND VOICE RECOGNITION METHOD - Provided is a voice recognition system capable of, while suppressing negative influences from sound not to be recognized, correctly estimating utterance sections that are to be recognized. A voice segmenting means calculates voice feature values, and segments voice sections or non-voice sections by comparing the voice feature values with a threshold value. Then, the voice segmenting means determines, to be first voice sections, those segmented sections or sections obtained by adding a margin to the front and rear of each of those segmented sections. On the basis of voice and non-voice likelihoods, a search means determines, to be second voice sections, sections to which voice recognition is to be applied. A parameter updating means updates the threshold value and the margin. The voice segmenting means determines the first voice sections by using the one of the threshold value and the margin which has been updated by the parameter updating means. | 09-20-2012 |
20120278077 | IDENTIFICATION OF PEOPLE USING MULTIPLE TYPES OF INPUT - Systems and methods for detecting people or speakers in an automated fashion are disclosed. A pool of features including more than one type of input (like audio input and video input) may be identified and used with a learning algorithm to generate a classifier that identifies people or speakers. The resulting classifier may be evaluated to detect people or speakers. | 11-01-2012 |
20130046540 | Restoration of high-order Mel Frequency Cepstral Coefficients - A method for estimating high-order Mel Frequency Cepstral Coefficients, the method comprising initializing any of N-L high-order coefficients (HOC) of an MFCC vector of length N having L low-order coefficients (LOC) to a predetermined value, thereby forming a candidate MFCC vector, synthesizing a speech signal frame from the candidate MFCC vector and a pitch value, and computing an N-dimensional MFCC vector from the synthesized frame, thereby producing an output MFCC vector. | 02-21-2013 |
20130204621 | SPEAKER ADAPTATION OF VOCABULARY FOR SPEECH RECOGNITION - A phonetic vocabulary for a speech recognition system is adapted to a particular speaker's pronunciation. A speaker can be attributed specific pronunciation styles, which can be identified from specific pronunciation examples. Consequently, a phonetic vocabulary can be reduced in size, which can improve recognition accuracy and recognition speed. | 08-08-2013 |
20130297311 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING PROGRAM - An information processing apparatus including: a high-quality-voice determining section configured to determine a voice, which can be determined to have been collected under a good condition, as a good-condition voice included in mixed voices pertaining to a group of voices collected under different conditions; and a voice recognizing section configured to carry out voice recognition processing by making use of a predetermined parameter on the good-condition voice determined by the high-quality-voice determining section, modify the value of the predetermined parameter on the basis of a result of the voice recognition processing carried out on the good-condition voice, and carry out the voice recognition processing by making use of the predetermined parameter having the modified value on a voice included in the mixed voices as a voice other than the good-condition voice. | 11-07-2013 |
20130311184 | METHOD AND SYSTEM FOR SPEECH RECOGNITION - A method and a system for speech recognition are provided. In the method, vocal characteristics are captured from speech data and used to identify a speaker identification of the speech data. Next, a first acoustic model is used to recognize a speech in the speech data. According to the recognized speech and the speech data, a confidence score of the speech recognition is calculated and it is determined whether the confidence score is over a threshold. If the confidence score is over the threshold, the recognized speech and the speech data are collected, and the collected speech data is used for performing a speaker adaptation on a second acoustic model corresponding to the speaker identification. | 11-21-2013 |
20130311185 | METHOD APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROSODIC TAGGING - In accordance with an example embodiment a method and apparatus are provided. The method comprises identifying at least one subject voice in one or more media files. The method also comprises determining at least one prosodic feature of the at least one subject voice. The method also comprises determining at least one prosodic tag for the at least one subject voice based on the at least one prosodic feature. | 11-21-2013 |
20140100850 | METHOD AND APPARATUS FOR PERFORMING PRESET OPERATION MODE USING VOICE RECOGNITION - A method and apparatus of performing a preset operation by using voice recognition are provided. The method includes performing the preset operation of a preset operation mode according to a key input or a touch input in the preset operation mode; and recognizing an input voice during performance of the preset operation of the preset operation mode and assisting the performance of the preset operation according to the recognized voice. | 04-10-2014 |
20140142944 | Diarization Using Acoustic Labeling - Systems and method of diarization of audio files use an acoustic voiceprint model. A plurality of audio files are analyzed to arrive at an acoustic voiceprint model associated to an identified speaker. Metadata associate with an audio file is used to select an acoustic voiceprint model. The selected acoustic voiceprint model is applied in a diarization to identify audio data of the identified speaker. | 05-22-2014 |
20140172428 | METHOD AND APPARATUS FOR CONTEXT INDEPENDENT GENDER RECOGNITION UTILIZING PHONEME TRANSITION PROBABILITY - Provided is a method for context independent gender recognition utilizing phoneme transition probability. The method for the context independent gender recognition includes detecting a voice section from a received voice signal, generating feature vectors within the detected voice section, performing a hidden Markov model on the feature vectors by using a search network that is set according to a phoneme rule to recognize a phoneme and obtain scores of first and second likelihoods, and comparing final scores of the first and second likelihoods obtained while the phoneme recognition is performed up to the last section of the voice section to finally decide gender with respect to the voice signal. | 06-19-2014 |
20140222428 | Method and Apparatus for Efficient I-Vector Extraction - Most speaker recognition systems use i-vectors which are compact representations of speaker voice characteristics. Typical i-vector extraction procedures are complex in terms of computations and memory usage. According to an embodiment, a method and corresponding apparatus for speaker identification, comprise determining a representation for each component of a variability operator, representing statistical inter- and intra-speaker variability of voice features with respect to a background statistical model, in terms of a linear operator common to all components of the variability operator and having a first dimension larger than a second dimension of the components of the variability operator; computing statistical voice characteristics of a particular speaker using the determined representations; and employing the statistical voice characteristics of the particular speaker in performing speaker recognition. Computing the voice characteristics, by using the determined representations, results in significant reduction in memory usage and possible increase in execution speed. | 08-07-2014 |
20150379985 | ADAPTATION METHODS AND SYSTEMS FOR SPEECH SYSTEMS - Adaptation methods and systems are provided for a speech system of a vehicle. In one embodiment a method comprises: receiving speech data; determining a speech pace based on the speech data; determining a user model based on the speech pace; and generating adaptation parameters for at least one of a speech recognition system and a dialog manager based on the user model. | 12-31-2015 |
20160111113 | SPEECH ENHANCEMENT METHOD AND APPARATUS FOR SAME - A speech enhancement method is provided. The speech enhancement method includes: estimating a direction of a speaker by using an input signal, generating direction information indicating the estimated direction, detecting speech of a speaker based on a result of the estimating the direction, and enhancing the speech of the speaker by using the direction information based on a result of the detecting the speech. | 04-21-2016 |
20160254009 | IDENTIFICATION BY SOUND DATA | 09-01-2016 |
20190147879 | METHOD AND APPARATUS FOR PERFORMING PRESET OPERATION MODE USING VOICE RECOGNITION | 05-16-2019 |