公开(公告)号：US20150127337A1

公开(公告)日：2015-05-07

申请号：US14258139

申请日：2014-04-22

Applicant: Google Inc.

Inventor： Georg Heigold ,  Erik McDermott ,  Vincent O. Vanhoucke ,  Andrew W. Senior ,  Michiel A.U. Bacchiani

IPC: G10L15/06

CPC classification number: G10L15/063 ,  G06N3/0454 ,  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.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于通过第一序列训练语音模型获得表示第一训练话语的语音特征的第一批训练帧; 通过所述第一序列训练语音模型获得一个或多个第一神经网络参数; 基于（i）第一批训练帧和（ii）所述一个或多个第一神经网络参数，通过所述第一序列训练语音模型确定一个或多个优化的第一神经网络参数; 通过第二序列训练语音模型获得表示第二训练语音的语音特征的第二批训练帧; 获得一个或多个第二神经网络参数; 以及通过所述第二序列训练语音模型，基于（i）第二批训练帧和（ii）所述一个或多个第二神经网络参数来确定一个或多个优化的第二神经网络参数。

公开(公告)号：US09401148B2

公开(公告)日：2016-07-26

申请号：US14228469

申请日：2014-03-28

Applicant: Google Inc.

Inventor： Xin Lei ,  Erik McDermott ,  Ehsan Variani ,  Ignacio L. Moreno

IPC: G10L17/00 ,  G10L17/18

CPC classification number: G10L17/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for inputting speech data that corresponds to a particular utterance to a neural network; determining an evaluation vector based on output at a hidden layer of the neural network; comparing the evaluation vector with a reference vector that corresponds to a past utterance of a particular speaker; and based on comparing the evaluation vector and the reference vector, determining whether the particular utterance was likely spoken by the particular speaker.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于将对应于特定话语的语音数据输入到神经网络; 基于所述神经网络的隐藏层的输出确定评估向量; 将评估向量与对应于特定说话者的过去发音的参考向量进行比较; 并且基于比较评估向量和参考向量，确定特定发音是否可能由特定说话者说出。

公开(公告)号：US10019985B2

公开(公告)日：2018-07-10

申请号：US14258139

申请日：2014-04-22

Applicant: Google Inc.

Inventor： Georg Heigold ,  Erik McDermott ,  Vincent O. Vanhoucke ,  Andrew W. Senior ,  Michiel A. U. Bacchiani

IPC: G10L15/06 ,  G10L15/16 ,  G10L15/183

CPC classification number: G10L15/063 ,  G06N3/0454 ,  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.

公开(公告)号：US20150127336A1

公开(公告)日：2015-05-07

申请号：US14228469

申请日：2014-03-28

Applicant: Google Inc.

Inventor： Xin Lei ,  Erik McDermott ,  Ehsan Variani ,  Ignacio L. Moreno

IPC: G10L17/18

CPC classification number: G10L17/18

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for inputting speech data that corresponds to a particular utterance to a neural network; determining an evaluation vector based on output at a hidden layer of the neural network; comparing the evaluation vector with a reference vector that corresponds to a past utterance of a particular speaker; and based on comparing the evaluation vector and the reference vector, determining whether the particular utterance was likely spoken by the particular speaker.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于将对应于特定话语的语音数据输入到神经网络; 基于所述神经网络的隐藏层的输出确定评估向量; 将评估向量与对应于特定说话者的过去发音的参考向量进行比较; 并且基于比较评估向量和参考向量，确定特定发音是否可能由特定说话者说出。