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公开(公告)号：US20250054439A1
公开(公告)日：2025-02-13
申请号：US18799289
申请日：2024-08-09
Applicant: GOOGLE LLC
Inventor： Bo Li , Kaushik Indravadan Sheth
Abstract: A color display that can deactivate colors based on one or more criteria is disclosed. Reducing the number of color channels used to display an image may help conserve power, which may help extend the operating life of a battery-operated device. The display includes a backplane that is segmented by color to enable the deactivation. The segmentation may also reduce electrical loading on the electrical lines used to address the pixels in the backplane.
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公开(公告)号：US20240028829A1
公开(公告)日：2024-01-25
申请号：US18346232
申请日：2023-07-01
Applicant: Google LLC
Inventor： Tara N. Sainath , Zhouyuan Huo , Zhehuai Chen , Yu Zhang , Weiran Wang , Trevor Strohman , Rohit Prakash Prabhavalkar , Bo Li , Ankur Bapna
IPC: G06F40/284 , G06F40/40
CPC classification number: G06F40/284 , G06F40/40
Abstract: A method includes receiving training data that includes a set of unspoken textual utterances. For each respective unspoken textual utterance, the method includes, tokenizing the respective textual utterance into a sequence of sub-word units, generating a first higher order textual feature representation for a corresponding sub-word unit tokenized from the respective unspoken textual utterance, receiving the first higher order textual feature representation generated by a text encoder, and generating a first probability distribution over possible text units. The method also includes training an encoder based on the first probability distribution over possible text units generated by a first-pass decoder for each respective unspoken textual utterance in the set of unspoken textual utterances.
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公开(公告)号：US11847957B2
公开(公告)日：2023-12-19
申请号：US17552158
申请日：2021-12-15
Applicant: GOOGLE LLC
Inventor： Edwin Lyle Hudson , Bo Li
IPC: G09G3/32 , G11C11/412
CPC classification number: G09G3/32 , G11C11/412 , G09G2300/0842 , G09G2310/0297
Abstract: A plurality of pixel drive circuits form part of an array of emissive elements. The plurality of pixel drive circuits are disposed to form a plurality of rows and a plurality of columns. The plurality of pixel drive circuits are organized into sets of pixel drive circuits, and each set comprises at least one pixel drive circuit. A FET of a set of pixel drive circuits shares a common well with other FETs of similar function in the same set of pixel drive circuits positioned therein, such that the variance of the threshold voltages of those FETs is substantially reduced. Each of the pixel drive circuits comprises a circuit operative to deliver a current at a predetermined voltage to an emissive device and a memory circuit operative to receive modulation data and to use same to modulate the current output of the pixel drive circuit.
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公开(公告)号：US11756534B2
公开(公告)日：2023-09-12
申请号：US17649058
申请日：2022-01-26
Applicant: Google LLC
Inventor： Bo Li , Ron Weiss , Michiel A. U. Bacchiani , Tara N. Sainath , Kevin William Wilson
IPC: G10L15/00 , G10L15/16 , G10L15/20 , G10L21/0224 , G10L15/26 , G10L21/0216
CPC classification number: G10L15/16 , G10L15/20 , G10L21/0224 , G10L15/26 , G10L2021/02166
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：US11610586B2
公开(公告)日：2023-03-21
申请号：US17182592
申请日：2021-02-23
Applicant: Google LLC
Inventor： David Qiu , Qiujia Li , Yanzhang He , Yu Zhang , Bo Li , Liangliang Cao , Rohit Prabhavalkar , Deepti Bhatia , Wei Li , Ke Hu , Tara Sainath , Ian Mcgraw
Abstract: A method includes receiving a speech recognition result, and using a confidence estimation module (CEM), for each sub-word unit in a sequence of hypothesized sub-word units for the speech recognition result: obtaining a respective confidence embedding that represents a set of confidence features; generating, using a first attention mechanism, a confidence feature vector; generating, using a second attention mechanism, an acoustic context vector; and generating, as output from an output layer of the CEM, a respective confidence output score for each corresponding sub-word unit based on the confidence feature vector and the acoustic feature vector received as input by the output layer of the CEM. For each of the one or more words formed by the sequence of hypothesized sub-word units, the method also includes determining a respective word-level confidence score for the word. The method also includes determining an utterance-level confidence score by aggregating the word-level confidence scores.
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Patent Agency Ranking
公开(公告)号：US11538431B2
公开(公告)日：2022-12-27
申请号：US17354419
申请日：2021-06-22
Applicant: Google LLC
Inventor： Bo Li , Kaushik Sheth
Abstract: A display system comprising a plurality of display controller circuits controlling a like number of independent segments of pixel drive circuits of a backplane. Each pixel drive circuit comprises a memory element and associated pixel drive circuitry. The segments of the backplane may be organized vertically. The word line for the memory cells of a first segment of pixel drive circuits passes underneath a second segment of pixel drive circuits without directly interacting with the pixel drive circuits of the second segment in order to reach the pixel drive circuits of the first segment. The plurality of display controller circuits operate asynchronously but are kept at the same frame rate by an external signal such as Vsync.
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公开(公告)号：US20200335091A1
公开(公告)日：2020-10-22
申请号：US16809403
申请日：2020-03-04
Applicant: Google LLC
Inventor： Shuo-yiin Chang , Rohit Prakash Prabhavalkar , Gabor Simko , Tara N. Sainath , Bo Li , Yangzhang He
Abstract: A method includes receiving audio data of an utterance and processing the audio data to obtain, as output from a speech recognition model configured to jointly perform speech decoding and endpointing of utterances: partial speech recognition results for the utterance; and an endpoint indication indicating when the utterance has ended. While processing the audio data, the method also includes detecting, based on the endpoint indication, the end of the utterance. In response to detecting the end of the utterance, the method also includes terminating the processing of any subsequent audio data received after the end of the utterance was detected.
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公开(公告)号：US20200027444A1
公开(公告)日：2020-01-23
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：US20180197534A1
公开(公告)日：2018-07-12
申请号：US15848829
申请日：2017-12-20
Applicant: Google LLC
Inventor： Bo Li , Ron J. Weiss , Michiel A.U. Bacchiani , Tara N. Sainath , Kevin William Wilson
IPC: G10L15/16 , 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：US12183322B2
公开(公告)日：2024-12-31
申请号：US17934555
申请日：2022-09-22
Applicant: Google LLC
Inventor： Bo Li , Tara N. Sainath , Ruoming Pang , Shuo-yiin Chang , Qiumin Xu , Trevor Strohman , Vince Chen , Qiao Liang , Heguang Liu , Yanzhang He , Parisa Haghani , Sameer Bidichandani
Abstract: A method includes receiving a sequence of acoustic frames characterizing one or more utterances as input to a multilingual automated speech recognition (ASR) model. The method also includes generating a higher order feature representation for a corresponding acoustic frame. The method also includes generating a hidden representation based on a sequence of non-blank symbols output by a final softmax layer. The method also includes generating a probability distribution over possible speech recognition hypotheses based on the hidden representation generated by the prediction network at each of the plurality of output steps and the higher order feature representation generated by the encoder at each of the plurality of output steps. The method also includes predicting an end of utterance (EOU) token at an end of each utterance. The method also includes classifying each acoustic frame as either speech, initial silence, intermediate silence, or final silence.
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