公开(公告)号：US10140980B2

公开(公告)日：2018-11-27

申请号：US15386979

申请日：2016-12-21

Applicant: Google LLC

Inventor： Samuel Bengio ,  Mirko Visontai ,  Christopher Walter George Thornton ,  Michiel A. U. Bacchiani ,  Tara N. Sainath ,  Ehsan Variani ,  Izhak Shafran

IPC: G10L15/16 ,  G10L19/02 ,  G10L15/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

公开(公告)号：US20180174575A1

公开(公告)日：2018-06-21

申请号：US15386979

申请日：2016-12-21

Applicant: Google LLC

Inventor： Samuel Bengio ,  Mirko Visontai ,  Christopher Walter George Thornton ,  Michiel A.U. Bacchiani ,  Tara N. Sainath ,  Ehsan Variani ,  Izhak Shafran

IPC: G10L15/16 ,  G10L19/02 ,  G10L15/02

CPC classification number: G10L15/16 ,  G10H1/00 ,  G10H2210/036 ,  G10H2210/046 ,  G10H2250/235 ,  G10H2250/311 ,  G10L15/02 ,  G10L17/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

公开(公告)号：US20200286468A1

公开(公告)日：2020-09-10

申请号：US16879322

申请日：2020-05-20

Applicant: Google LLC

Inventor： Samuel Bengio ,  Mirko Visontai ,  Christopher Walter George Thornton ,  Tara N. Sainath ,  Ehsan Variani ,  Izhak Shafran ,  Michiel A.u. Bacchiani

IPC: G10L15/16 ,  G10L15/02 ,  G10H1/00 ,  G10L19/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

公开(公告)号：US20190115013A1

公开(公告)日：2019-04-18

申请号：US16171629

申请日：2018-10-26

Applicant: Google LLC

Inventor： Samuel Bengio ,  Mirko Visontai ,  Christopher Walter George Thornton ,  Michiel A.U. Bacchiani ,  Tara N. Sainath ,  Ehsan Variani ,  Izhak Shafran

IPC: G10L15/16 ,  G10L19/02 ,  G10L15/02 ,  G10H1/00

CPC classification number: G10L15/16 ,  G10H1/00 ,  G10H2210/036 ,  G10H2210/046 ,  G10H2250/235 ,  G10H2250/311 ,  G10L15/02 ,  G10L17/18 ,  G10L19/0212

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

公开(公告)号：US10714078B2

公开(公告)日：2020-07-14

申请号：US16171629

申请日：2018-10-26

Applicant: Google LLC

Inventor： Samuel Bengio ,  Mirkó Visontai ,  Christopher Walter George Thornton ,  Michiel A. U. Bacchiani ,  Tara N. Sainath ,  Ehsan Variani ,  Izhak Shafran

IPC: G10L15/16 ,  G10L15/02 ,  G10H1/00 ,  G10L19/02 ,  G10L17/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using complex linear projection are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to an utterance. The method further includes generating frequency domain data using the audio data. The method further includes processing the frequency domain data using complex linear projection. The method further includes providing the processed frequency domain data to a neural network trained as an acoustic model. The method further includes generating a transcription for the utterance that is determined based at least on output that the neural network provides in response to receiving the processed frequency domain data.

公开(公告)号：US20190102458A1

公开(公告)日：2019-04-04

申请号：US16148338

申请日：2018-10-01

Applicant: Google LLC

Inventor： Dominik Roblek ,  Blaise Aguera-Arcas ,  Tom Hume ,  Marvin Ritter ,  Brandon Barbello ,  Kevin Kilgour ,  Mihajlo Velimirovic ,  Christopher Walter George Thornton ,  Gabriel Taubman ,  James David Lyon ,  Jan Athaus ,  Katsiaryna Naliuka ,  Julian Odell ,  Matthew Sharifi ,  Beat Gfeller

IPC: G06F17/30 ,  G06F3/16 ,  G06N3/08

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products. A computing device stores reference song characterization data and receives digital audio data. The computing device determines whether the digital audio data represents music and then performs a different process to recognize that the digital audio data represents a particular reference song. The computing device then outputs an indication of the particular reference song.

公开(公告)号：US20190102144A1

公开(公告)日：2019-04-04

申请号：US16148401

申请日：2018-10-01

Applicant: Google LLC

Inventor： Dominik Roblek ,  Blaise Aguera-Arcas ,  Tom Hume ,  Marvin Ritter ,  Brandon Barbello ,  Kevin Kilgour ,  Mihajlo Velimirovic ,  Christopher Walter George Thornton ,  Gabriel Taubman ,  James David Lyon ,  Jan Althaus ,  Katsiaryna Naliuka ,  Julian Odell ,  Matthew Sharifi ,  Beat Gfeller

IPC: G06F3/16 ,  G06F17/30

Abstract: In general, the subject matter described in this disclosure can be embodied in methods, systems, and program products for indicating a reference song. A computing device stores reference song characterization data that identifies a plurality of audio characteristics for each reference song in a plurality of reference songs. The computing device receives digital audio data that represents audio recorded by a microphone, converts the digital audio data from time-domain format into frequency-domain format, and uses the digital audio data in the frequency-domain format in a music-characterization process. In response to determining that characterization values for the digital audio data are most relevant to characterization values for a particular reference song, the computing device outputs an indication of the particular reference song.