Patents by Inventor Tadashi Emori
Tadashi Emori has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9128907Abstract: 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.Type: GrantFiled: July 30, 2014Date of Patent: September 8, 2015Assignee: NEC INFORMATEC SYSTEMS, LTD.Inventors: Kazuhiro Arai, Tadashi Emori
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Patent number: 9064499Abstract: 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.Type: GrantFiled: February 8, 2010Date of Patent: June 23, 2015Assignee: NEC CORPORATIONInventors: Masanori Tsujikawa, Tadashi Emori, Yoshifumi Onishi
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Patent number: 9009035Abstract: 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.Type: GrantFiled: February 8, 2010Date of Patent: April 14, 2015Assignee: NEC CorporationInventors: Masanori Tsujikawa, Ryosuke Isotani, Tadashi Emori, Yoshifumi Onishi
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Patent number: 8954323Abstract: 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.Type: GrantFiled: February 8, 2010Date of Patent: February 10, 2015Assignee: NEC CorporationInventors: Masanori Tsujikawa, Tadashi Emori, Yoshifumi Onishi, Ryosuke Isotani
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Patent number: 8909518Abstract: 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.Type: GrantFiled: September 22, 2008Date of Patent: December 9, 2014Assignee: NEC CorporationInventor: Tadashi Emori
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Publication number: 20140343926Abstract: 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.Type: ApplicationFiled: July 30, 2014Publication date: November 20, 2014Inventors: Kazuhiro ARAI, Tadashi EMORI
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Patent number: 8856001Abstract: 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).Type: GrantFiled: September 3, 2009Date of Patent: October 7, 2014Assignee: NEC CorporationInventors: Tadashi Emori, Masanori Tsujikawa
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Patent number: 8842843Abstract: 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).Type: GrantFiled: September 3, 2009Date of Patent: September 23, 2014Assignee: NEC CorporationInventors: Tadashi Emori, Masanori Tsujikawa
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Patent number: 8831943Abstract: 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 (10) includes a recognizing device (101) for recognizing an input speech by using a sound model and a language model and outputting the recognized word sequence as the recognition result, a reliability degree computing device (103) for computing the degree of reliability of the word sequence, and a language model parameter updating device (104) for updating the parameters of the language model by using the degree of reliability. The language model parameter updating device updates the parameters of the language model to heighten the degree of reliability of the word sequence the computed degree of reliability of which is low when the recognizing device recognizes by using the updated language model and the reliability degree computing device computes the degree of reliability.Type: GrantFiled: May 30, 2007Date of Patent: September 9, 2014Assignee: NEC CorporationInventors: Tadashi Emori, Yoshifumi Onishi
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Patent number: 8831945Abstract: 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.Type: GrantFiled: October 12, 2011Date of Patent: September 9, 2014Assignee: NEC Informatec Systems, Ltd.Inventors: Kazuhiro Arai, Tadashi Emori
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Patent number: 8738367Abstract: 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.Type: GrantFiled: February 18, 2010Date of Patent: May 27, 2014Assignee: NEC CorporationInventor: Tadashi Emori
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Patent number: 8706487Abstract: 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 (103) for detecting a speaking section in speech data (101) and for generating a section information which indicates the detected speaking section, means (104) for recognizing a data part corresponding to a section information in the speech data as well as text data (102) written from the speech data and for classifying the data part based on a speaking length thereof, and means (106) for learning acoustic models and language models (107) by using the classified data part (105).Type: GrantFiled: December 7, 2007Date of Patent: April 22, 2014Assignee: NEC CorporationInventors: Tadashi Emori, Yoshifumi Onishi
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Patent number: 8589152Abstract: 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.Type: GrantFiled: May 26, 2009Date of Patent: November 19, 2013Assignee: NEC CorporationInventors: Tadashi Emori, Masanori Tsujikawa
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Patent number: 8494847Abstract: 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.Type: GrantFiled: February 19, 2008Date of Patent: July 23, 2013Assignee: NEC CorporationInventors: Tadashi Emori, Yoshifumi Onishi
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Patent number: 8452596Abstract: 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 long-time speaker score is calculated (log likelihood of each of a plurality of speaker models stored in a speaker model storage with respect to the acoustic feature value) based on an arbitrary number of utterances, for example, and a short-time speaker score is calculated based on a short-time utterance, for example. Speakers are selected corresponding to a predetermined number of speaker models having a high long-time speaker score. Speakers are selected corresponding to the speaker models, the number of which is smaller than the predetermined number and the short-time speaker sore of which is high, from among the speakers having a high long-time speaker score.Type: GrantFiled: February 29, 2008Date of Patent: May 28, 2013Assignee: NEC CorporationInventors: Masahiro Tani, Tadashi Emori, Yoshifumi Onishi
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Patent number: 8428950Abstract: A speech recognition apparatus (110) selects an optimum recognition result from recognition results output from a set of speech recognizers (s1-sM) based on a majority decision. This decision is implemented with taking into account weight values, as to the set of the speech recognizers, learned by a learning apparatus (100). The learning apparatus includes a unit (103) selecting speech recognizers corresponding to characteristics of speech for learning (101), a unit (104) finding recognition results of the speech for learning by using the selected speech recognizers, a unit (105) unifying the recognition results and generating a word string network, and a unit (106) finding weight values concerning a set of the speech recognizers by implementing learning processing.Type: GrantFiled: January 18, 2008Date of Patent: April 23, 2013Assignee: NEC CorporationInventors: Yoshifumi Onishi, Tadashi Emori
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Publication number: 20120089397Abstract: 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.Type: ApplicationFiled: October 12, 2011Publication date: April 12, 2012Applicant: NEC Informatec Systems, Ltd.Inventors: Kazuhiro ARAI, Tadashi EMORI
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Publication number: 20120046940Abstract: 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.Type: ApplicationFiled: February 8, 2010Publication date: February 23, 2012Applicant: NEC CORPORATIONInventors: Masanori Tsujikawa, Tadashi Emori, Yoshifumi Onishi, Ryosuke Isotani
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Publication number: 20120029916Abstract: 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.Type: ApplicationFiled: February 8, 2010Publication date: February 2, 2012Applicant: NEC CORPORATIONInventors: Masanori Tsujikawa, Tadashi Emori, Yoshifumi Onishi
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Publication number: 20120029915Abstract: 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.Type: ApplicationFiled: February 8, 2010Publication date: February 2, 2012Applicant: NEC CORPORATIONInventors: Masanori Tsujikawa, Ryosuke Isotani, Tadashi Emori, Yoshifumi Onishi