公开(公告)号：US09412365B2

公开(公告)日：2016-08-09

申请号：US14667518

申请日：2015-03-24

Applicant: Google Inc.

Inventor： Fadi Biadsy ,  Brian E. Roark

IPC: G10L15/26 ,  G10L15/16 ,  G10L15/00 ,  G10L15/06 ,  G10L15/18 ,  G10L15/197

CPC classification number: G10L15/197

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to enhanced maximum entropy models. In some implementations, data indicating a candidate transcription for an utterance and a particular context for the utterance are received. A maximum entropy language model is obtained. Feature values are determined for n-gram features and backoff features of the maximum entropy language model. The feature values are input to the maximum entropy language model, and an output is received from the maximum entropy language model. A transcription for the utterance is selected from among a plurality of candidate transcriptions based on the output from the maximum entropy language model. The selected transcription is provided to a client device.

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，涉及增强的最大熵模型。 在一些实施方式中，接收表示用于话语的候选转录和用于话语的特定上下文的数据。 获得最大熵语言模型。 为最大熵语言模型的n-gram特征和退避特征确定特征值。 特征值被输入到最大熵语言模型，并且从最大熵语言模型接收输出。 基于最大熵语言模型的输出，从多个候选转录中选择用于发音的转录。 选择的转录被提供给客户端设备。

公开(公告)号：US20150269934A1

公开(公告)日：2015-09-24

申请号：US14667518

申请日：2015-03-24

Applicant: Google Inc.

Inventor： Fadi Biadsy ,  Brian E. Roark

IPC: G10L15/18 ,  G10L15/26

CPC classification number: G10L15/197

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, relating to enhanced maximum entropy models. In some implementations, data indicating a candidate transcription for an utterance and a particular context for the utterance are received. A maximum entropy language model is obtained. Feature values are determined for n-gram features and backoff features of the maximum entropy language model. The feature values are input to the maximum entropy language model, and an output is received from the maximum entropy language model. A transcription for the utterance is selected from among a plurality of candidate transcriptions based on the output from the maximum entropy language model. The selected transcription is provided to a client device.

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，涉及增强的最大熵模型。 在一些实施方式中，接收表示用于话语的候选转录和用于话语的特定上下文的数据。 获得最大熵语言模型。 为最大熵语言模型的n-gram特征和退避特征确定特征值。 特征值被输入到最大熵语言模型，并且从最大熵语言模型接收输出。 基于最大熵语言模型的输出，从多个候选转录中选择用于发音的转录。 选择的转录被提供给客户端设备。