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：US20180068675A1

公开(公告)日：2018-03-08

申请号：US15350293

申请日：2016-11-14

Applicant: Google Inc.

Inventor： Ehsan Variani ,  Kevin William Wilson ,  Ron J. Weiss ,  Tara N. Sainath ,  Arun Narayanan

IPC: G10L25/30 ,  G10L21/028 ,  G10L21/0388

CPC classification number: G10L25/30 ,  G10L15/16 ,  G10L15/20 ,  G10L19/008 ,  G10L21/028 ,  G10L21/0388 ,  G10L2021/02087 ,  G10L2021/02166

Abstract: This specification describes computer-implemented methods and systems. One method includes receiving, by a neural network of a speech recognition system, first data representing a first raw audio signal and second data representing a second raw audio signal. The first raw audio signal and the second raw audio signal describe audio occurring at a same period of time. The method further includes generating, by a spatial filtering layer of the neural network, a spatial filtered output using the first data and the second data, and generating, by a spectral filtering layer of the neural network, a spectral filtered output using the spatial filtered output. Generating the spectral filtered output comprises processing frequency-domain data representing the spatial filtered output. The method still further includes processing, by one or more additional layers of the neural network, the spectral filtered output to predict sub-word units encoded in both the first raw audio signal and the second raw audio signal.

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。