Patent application number | Description | Published |
20100063819 | LANGUAGE MODEL LEARNING SYSTEM, LANGUAGE MODEL LEARNING METHOD, AND LANGUAGE MODEL LEARNING PROGRAM - A language model learning system for learning a language model on an identifiable basis relating to a word error rate used in speech recognition. The language model learning system ( | 03-11-2010 |
20100094629 | WEIGHT COEFFICIENT LEARNING SYSTEM AND AUDIO RECOGNITION SYSTEM - A weighting factor learning system includes an audio recognition section that recognizes learning audio data and outputting the recognition result; a weighting factor updating section that updates a weighting factor applied to a score obtained from an acoustic model and a language model so that the difference between a correct-answer score calculated with the use of a correct-answer text of the learning audio data and a score of the recognition result becomes large; a convergence determination section that determines, with the use of the score after updating, whether to return to the weighting factor updating section to update the weighting factor again; and a weighting factor convergence determination section that determines, with the use of the score after updating, whether to return to the audio recognition section to perform the process again and update the weighting factor using the weighting factor updating section. | 04-15-2010 |
20100114572 | SPEAKER SELECTING DEVICE, SPEAKER ADAPTIVE MODEL CREATING DEVICE, SPEAKER SELECTING METHOD, SPEAKER SELECTING PROGRAM, AND SPEAKER ADAPTIVE MODEL MAKING PROGRAM - To enable selection of a speaker, the acoustic feature value of which is similar to that of an utterance speaker, with accuracy and stability, while adapting to changes even when the acoustic feature value of the speaker changes every moment. A speaker score calculating means ( | 05-06-2010 |
20100204985 | FREQUENCY AXIS WARPING FACTOR ESTIMATION APPARATUS, SYSTEM, METHOD AND PROGRAM - A warping factor estimation system comprises label information generation unit that outputs voice/non-voice label information, warp model storage unit in which a probability model representing voice and non-voice occurrence probabilities is stored, and warp estimation unit that calculates a warping factor in the frequency axis direction using the probability model representing voice and non-voice occurrence probabilities, voice and non-voice labels, and a cepstrum. | 08-12-2010 |
20100318358 | RECOGNIZER WEIGHT LEARNING DEVICE, SPEECH RECOGNIZING DEVICE, AND SYSTEM - A speech recognition apparatus ( | 12-16-2010 |
20100324897 | AUDIO RECOGNITION DEVICE AND AUDIO RECOGNITION METHOD - Acoustic models and language models are learned according to a speaking length which indicates a length of a speaking section in speech data, and speech recognition process is implemented by using the learned acoustic models and language models. A speech recognition apparatus includes means ( | 12-23-2010 |
20110071825 | DEVICE, METHOD AND PROGRAM FOR VOICE DETECTION AND RECORDING MEDIUM - To this end, a voice detection device includes a band-based power calculation unit that calculates a total of signal power values (sub-band power) of signals entered from the microphones from one preset frequency width (sub-band) to another. The voice detection device also includes a band-based noise estimation unit that estimates the sub-band based noise power, and a sub-band based SNR calculation unit. The sub-band based SNR calculation unit calculates a sub-band SNR from one sub-band to another to output the largest one of the sub-band SNRs as an SNR for a microphone of interest. The voice detection device further includes a voice/non-voice decision unit that determines the voice/non-voice using the SNR for the microphone of interest. | 03-24-2011 |
20110202339 | SPEECH SOUND DETECTION APPARATUS - A speech sound detection apparatus receives an input audio signal (as a sound reception unit), and computes input power that indicates a magnitude of the sound represented by the audio signal (as an input power computation unit). The apparatus estimates a correction function that is a continuous function defining a relation between a certain frequency and a correction coefficient used to approximate the input power computed at that frequency to the reference power predetermined for that frequency (as a correction function estimation unit). The apparatus corrects the input power at every frequency, based upon the correction coefficient that is obtained in accordance with the relation defined by the estimated correction function (as an input power correcting unit). The apparatus further determines whether or not the sound represented by the received audio signal is speech sound, based upon the corrected input power (as a speech sound detection unit). | 08-18-2011 |
20110225439 | SIGNAL CORRECTION APPARATUS - A signal correction apparatus receives an input audio signal (serving as a first sound reception means). The signal correction apparatus computes, at every frequency, first power that indicates magnitude of sound represented by the input audio signal (serving as a first power computation means). The signal correction apparatus estimates a correction function that is a continuous function defining a relation between each frequency and a correction coefficient used to approximate the first power computed at that frequency to the reference power predetermined for that frequency (serving as a correction function estimation means). The signal correction apparatus multiplies the computed first power by the correction coefficient acquired in accordance with the relation defined by the estimated correction function so as to correct the first power at every frequency (serving as a power correcting means). | 09-15-2011 |
20120004916 | SPEECH SIGNAL PROCESSING DEVICE - A speech signal processing device is equipped with a power acquisition unit, a probability distribution acquisition unit, and a correspondence degree determination unit. The power acquisition unit accepts an inputted speech signal and, based on the accepted speech signal, acquires power representing the intensity of a speech sound represented by the speech signal. The probability distribution acquisition unit acquires a probability distribution using the intensity of the power acquired by the power acquisition unit as a random variable. The correspondence degree determination unit determines whether a correspondence degree representing a degree that power acquired by the power acquisition unit in a case that a predetermined reference speech signal is inputted into the power acquisition unit corresponds with predetermined reference power is higher than a predetermined reference correspondence degree, based on the probability distribution acquired by the probability distribution acquisition unit. | 01-05-2012 |
20120029915 | METHOD FOR PROCESSING MULTICHANNEL ACOUSTIC SIGNAL, SYSTEM THEREFOR, AND PROGRAM - A method for processing multichannel acoustic signals which processes input signals of a plurality of channels including the voices of a plurality of speaking persons. The method is characterized by detecting the voice section of each speaking person or each channel, detecting overlapped sections wherein the detected voice sections are common between channels, determining a channel to be subjected to crosstalk removal and the section thereof by use of at least voice sections not including the detected overlapped sections, and removing crosstalk in the sections of the channel to be subjected to the crosstalk removal. | 02-02-2012 |
20120029916 | METHOD FOR PROCESSING MULTICHANNEL ACOUSTIC SIGNAL, SYSTEM THEREFOR, AND PROGRAM - A method for processing multichannel acoustic signals which is characterized by calculating the feature quantity of each channel from the input signals of a plurality of channels, calculating similarity between the channels in the feature quantity of each channel, selecting channels having high similarity, and separating signals using the input signals of the selected channels. | 02-02-2012 |
20120046940 | METHOD FOR PROCESSING MULTICHANNEL ACOUSTIC SIGNAL, SYSTEM THEREOF, AND PROGRAM - A method for processing multichannel acoustic signals, whereby input signals of a plurality of channels including the voices of a plurality of speaking persons are processed. The method is characterized by comprising: calculating the first feature quantity of the input signals of the multichannels for each channel; calculating similarity of the first feature quantity of each channel between the channels; selecting channels having high similarity; separating signals using the input signals of the selected channels; inputting the input signals of the channels having low similarity and the signals after the signal separation; and detecting a voice section of each speaking person or each channel. | 02-23-2012 |
20120089397 | LANGUAGE MODEL GENERATING DEVICE, METHOD THEREOF, AND RECORDING MEDIUM STORING PROGRAM THEREOF - A text in a corpus including a set of world wide web (web) pages is analyzed. At least one word appropriate for a document type set according to a voice recognition target is extracted based on an analysis result. A word set is generated from the extracted at least one word. A retrieval engine is caused to perform a retrieval process using the generated word set as a retrieval query of the retrieval engine on the Internet, and a link to a web page from the retrieval result is acquired. A language model for voice recognition is generated from the acquired web page. | 04-12-2012 |
20140343926 | LANGUAGE MODEL GENERATING DEVICE, METHOD THEREOF, AND RECORDING MEDIUM STORING PROGRAM THEREOF - A text in a corpus including a set of world wide web (web) pages is analyzed. At least one word appropriate for a document type set according to a voice recognition target is extracted based on an analysis result. A word set is generated from the extracted at least one word. A retrieval engine is caused to perform a retrieval process using the generated word set as a retrieval query of the retrieval engine on the Internet, and a link to a web page from the retrieval result is acquired. A language model for voice recognition is generated from the acquired web page. | 11-20-2014 |