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公开(公告)号：US11967323B2
公开(公告)日：2024-04-23
申请号：US17849253
申请日：2022-06-24
Applicant: GOOGLE LLC
Inventor： Alexander H. Gruenstein , Taral Pradeep Joglekar , Vijayaditya Peddinti , Michiel A. U. Bacchiani
CPC classification number: G10L15/22 , G10L15/063 , G10L15/08 , G10L15/30 , G10L17/00 , G10L17/22 , G10L25/51 , G10L2015/088
Abstract: A method includes adding, by a first computing device, a first audio watermark to first speech data corresponding to playback of a first utterance including a hotword used to invoke an attention of a second computing device. The method includes outputting, by the first computing device, the playback of the first utterance corresponding to the watermarked first speech data. The second computing device is configured to receive the watermarked first speech data and determine to cease processing of the watermarked first speech data.
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公开(公告)号：US20240087559A1
公开(公告)日：2024-03-14
申请号：US18506540
申请日：2023-11-10
Applicant: Google LLC
Inventor： Georg Heigold , Erik Mcdermott , Vincent O. Vanhoucke , Andrew W. Senior , Michiel A. U. Bacchiani
IPC: G10L15/06 , G06N3/045 , G10L15/16 , G10L15/183
CPC classification number: G10L15/063 , G06N3/045 , G10L15/16 , G10L15/183
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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公开(公告)号：US11257485B2
公开(公告)日：2022-02-22
申请号：US16708930
申请日：2019-12-10
Applicant: Google LLC
Inventor： Bo Li , Ron J. Weiss , Michiel A. U. Bacchiani , Tara N. Sainath , Kevin William Wilson
IPC: G10L15/00 , G10L15/16 , G10L15/20 , G10L21/0224 , G10L15/26 , G10L21/0216
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neural network adaptive beamforming for multichannel speech recognition are disclosed. In one aspect, a method includes the actions of receiving a first channel of audio data corresponding to an utterance and a second channel of audio data corresponding to the utterance. The actions further include generating a first set of filter parameters for a first filter based on the first channel of audio data and the second channel of audio data and a second set of filter parameters for a second filter based on the first channel of audio data and the second channel of audio data. The actions further include generating a single combined channel of audio data. The actions further include inputting the audio data to a neural network. The actions further include providing a transcription for the utterance.
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公开(公告)号：US11145293B2
公开(公告)日：2021-10-12
申请号：US16516390
申请日：2019-07-19
Applicant: Google LLC
Inventor： Rohit Prakash Prabhavalkar , Zhifeng Chen , Bo Li , Chung-Cheng Chiu , Kanury Kanishka Rao , Yonghui Wu , Ron J. Weiss , Navdeep Jaitly , Michiel A. U. Bacchiani , Tara N. Sainath , Jan Kazimierz Chorowski , Anjuli Patricia Kannan , Ekaterina Gonina , Patrick An Phu Nguyen
Abstract: Methods, systems, and apparatus, including computer-readable media, for performing speech recognition using sequence-to-sequence models. An automated speech recognition (ASR) system receives audio data for an utterance and provides features indicative of acoustic characteristics of the utterance as input to an encoder. The system processes an output of the encoder using an attender to generate a context vector and generates speech recognition scores using the context vector and a decoder trained using a training process that selects at least one input to the decoder with a predetermined probability. An input to the decoder during training is selected between input data based on a known value for an element in a training example, and input data based on an output of the decoder for the element in the training example. A transcription is generated for the utterance using word elements selected based on the speech recognition scores. The transcription is provided as an output of the ASR system.
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公开(公告)号：US10916238B2
公开(公告)日：2021-02-09
申请号：US16863432
申请日：2020-04-30
Applicant: Google LLC
Inventor： Georg Heigold , Erik Mcdermott , Vincent O. Vanhoucke , Andrew W. Senior , Michiel A. U. Bacchiani
IPC: G10L15/06 , G10L15/16 , G10L15/183 , G06N3/04
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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Patent Agency Ranking
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
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.
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公开(公告)号：US10692496B2
公开(公告)日：2020-06-23
申请号：US16418415
申请日：2019-05-21
Applicant: Google LLC
Inventor： Alexander H. Gruenstein , Taral Pradeep Joglekar , Vijayaditya Peddinti , Michiel A. U. Bacchiani
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for suppressing hotwords are disclosed. In one aspect, a method includes the actions of receiving audio data corresponding to playback of an utterance. The actions further include providing the audio data as an input to a model (i) that is configured to determine whether a given audio data sample includes an audio watermark and (ii) that was trained using watermarked audio data samples that each include an audio watermark sample and non-watermarked audio data samples that do not each include an audio watermark sample. The actions further include receiving, from the model, data indicating whether the audio data includes the audio watermark. The actions further include, based on the data indicating whether the audio data includes the audio watermark, determining to continue or cease processing of the audio data.
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公开(公告)号：US12254883B2
公开(公告)日：2025-03-18
申请号：US18635974
申请日：2024-04-15
Applicant: GOOGLE LLC
Inventor： Asaf Aharoni , Arun Narayanan , Nir Shabat , Parisa Haghani , Galen Tsai Chuang , Yaniv Leviathan , Neeraj Gaur , Pedro J. Moreno Mengibar , Rohit Prakash Prabhavalkar , Zhongdi Qu , Austin Severn Waters , Tomer Amiaz , Michiel A. U. Bacchiani
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.
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公开(公告)号：US11990133B2
公开(公告)日：2024-05-21
申请号：US18219480
申请日：2023-07-07
Applicant: GOOGLE LLC
Inventor： Asaf Aharoni , Arun Narayanan , Nir Shabat , Parisa Haghani , Galen Tsai Chuang , Yaniv Leviathan , Neeraj Gaur , Pedro J. Moreno Mengibar , Rohit Prakash Prabhavalkar , Zhongdi Qu , Austin Severn Waters , Tomer Amiaz , Michiel A. U. Bacchiani
CPC classification number: G10L15/26 , G10L15/32 , H04M1/02 , H04M1/663 , H04M3/4286 , H04M3/5191
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for an automated calling system are disclosed. In one aspect, a method includes the actions of receiving audio data of an utterance spoken by a user who is having a telephone conversation with a bot. The actions further include determining a context of the telephone conversation. The actions further include determining a user intent of a first previous portion of the telephone conversation spoken by the user and a bot intent of a second previous portion of the telephone conversation outputted by a speech synthesizer of the bot. The actions further include, based on the audio data of the utterance, the context of the telephone conversation, the user intent, and the bot intent, generating synthesized speech of a reply by the bot to the utterance. The actions further include, providing, for output, the synthesized speech.
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公开(公告)号：US11854534B1
公开(公告)日：2023-12-26
申请号：US18069035
申请日：2022-12-20
Applicant: Google LLC
Inventor： Georg Heigold , Erik Mcdermott , Vincent O. Vanhoucke , Andrew W. Senior , Michiel A. U. Bacchiani
IPC: G10L15/06 , G10L15/183 , G06N3/045
CPC classification number: G10L15/063 , G06N3/045 , G10L15/06 , G10L15/183
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.
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