公开(公告)号：US20180217749A1

公开(公告)日：2018-08-02

申请号：US15422175

申请日：2017-02-01

Applicant: Google Inc.

Inventor： Ouais Alsharif ,  Peter Ciccotto ,  Francoise Beaufays ,  Dragan Zivkovic

IPC: G06F3/0488 ,  G06F17/27

Abstract: A keyboard is described that determines, using a first decoder and based on a selection of keys of a graphical keyboard, text. Responsive to determining that a characteristic of the text satisfies a threshold, a model of the keyboard identifies the target language of the text, and determines whether the target language is different than a language associated with the first decoder. If the target language of the text is not different than the language associated with the first decoder, the keyboard outputs, for display, an indication of first candidate words determined by the first decoder from the text. If the target language of the text is different: the keyboard enables a second decoder, where a language associated with the second decoder matches the target language of the text, and outputs, for display, an indication of second candidate words determined by the second decoder from the text.

公开(公告)号：US20180188948A1

公开(公告)日：2018-07-05

申请号：US15393676

申请日：2016-12-29

Applicant: Google Inc.

Inventor： Yu Ouyang ,  Diego Melendo Casado ,  Mohammadinamul Hasan Sheik ,  Francoise Beaufays ,  Dragan Zivkovic ,  Meltem Oktem

IPC: G06F3/0488 ,  G06F3/16 ,  G06F17/24 ,  G06F17/27

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for cross input modality learning in a mobile device are disclosed. In one aspect, a method includes activating a first modality user input mode in which user inputs by way of a first modality are recognized using a first modality recognizer; and receiving a user input by way of the first modality. The method includes, obtaining, as a result of the first modality recognizer recognizing the user input, a transcription that includes a particular term; and generating an input context data structure that references at least the particular term. The method further includes, transmitting, by the first modality recognizer, the input context data structure to a second modality recognizer for use in updating a second modality recognition model associated with the second modality recognizer.

公开(公告)号：US20170199665A1

公开(公告)日：2017-07-13

申请号：US15473010

申请日：2017-03-29

Applicant: Google Inc.

Inventor： Shumin Zhai ,  Thomas Breuel ,  Ouais Alsharif ,  Yu Ouyang ,  Francoise Beaufays ,  Johan Schalkwyk

IPC: G06F3/0488 ,  G06N3/08 ,  G06F3/0482

CPC classification number: G06F3/04886 ,  G06F3/0219 ,  G06F3/0233 ,  G06F3/0237 ,  G06F3/0482 ,  G06F3/04883 ,  G06F3/04895 ,  G06F17/273 ,  G06F17/276 ,  G06F17/2765 ,  G06N3/0445 ,  G06N3/08

Abstract: In some examples, a computing device includes at least one processor; and at least one module, operable by the at least one processor to: output, for display at an output device, a graphical keyboard; receive an indication of a gesture detected at a location of a presence-sensitive input device, wherein the location of the presence-sensitive input device corresponds to a location of the output device that outputs the graphical keyboard; determine, based on at least one spatial feature of the gesture that is processed by the computing device using a neural network, at least one character string, wherein the at least one spatial feature indicates at least one physical property of the gesture; and output, for display at the output device, based at least in part on the processing of the at least one spatial feature of the gesture using the neural network, the at least one character string.

公开(公告)号：US09594744B2

公开(公告)日：2017-03-14

申请号：US13829482

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Hasim Sak ,  Francoise Beaufays

IPC: G06F17/27 ,  G10L15/00 ,  G10L15/14 ,  G10L15/08 ,  G10L15/26 ,  G10L15/187 ,  G10L15/197

CPC classification number: G06F17/2775 ,  G10L15/083 ,  G10L15/187 ,  G10L15/197 ,  G10L15/26

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for transcribing utterances into written text are disclosed. The methods, systems, and apparatus include actions of obtaining a lexicon model that maps phones to spoken text and obtaining a language model that assigns probabilities to written text. Further includes generating a transducer that maps the written text to the spoken text, the transducer mapping multiple items of the written text to an item of the spoken text. Additionally, the actions include constructing a decoding network for transcribing utterances into written text, by composing the lexicon model, the inverse of the transducer, and the language model.

Abstract translation: 公开了包括在计算机存储介质上编码的用于将话语转换成书面文本的计算机程序的方法，系统和装置。 方法，系统和装置包括获取将电话映射到口语文本并获得将概率分配给书写文本的语言模型的词典模型的动作。 还包括生成将书写文本映射到口语文本的传感器，换能器将多个文本文本项目映射到口语文本的项目。 此外，这些动作包括通过组合词典模型，换能器的倒数和语言模型来构建用于将话语转录成书写文本的解码网络。

公开(公告)号：US20160307569A1

公开(公告)日：2016-10-20

申请号：US14686670

申请日：2015-04-14

Applicant: Google Inc.

Inventor： Fuchun Peng ,  Jakob Nicolaus Foerster ,  Diego Melendo Casado ,  Fei Huang ,  Francoise Beaufays

IPC: G10L15/22 ,  G10L15/26

CPC classification number: G10L15/22 ,  G10L13/033 ,  G10L15/07 ,  G10L15/187 ,  G10L15/26 ,  G10L2015/221 ,  G10L2015/225

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting notifications in an enterprise system. In one aspect, a method include actions of obtaining a template that defines (i) trigger criteria for presenting a notification type and (ii) content rules for determining content to include in a notification of the notification type. Additional actions include accessing enterprise resources of an enterprise, the enterprise resources including data describing entities related to the enterprise and relationships among the entities. Further actions include, accessing user information specific to a user and determining that the trigger criteria is satisfied by the enterprise resources and the user information. Additional actions include generating a particular notification of the notification type based at least on the content rules and providing the particular notification to the user.

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，用于在企业系统中呈现通知。 一方面，一种方法包括获取定义（i）触发呈现通知类型的标准的模板的动作，以及（ii）用于确定内容的内容规则以包括在通知类型的通知中。 其他行动包括访问企业的企业资源，企业资源，包括描述与企业相关的实体的数据和实体之间的关系。 进一步的操作包括访问用户特有的用户信息，并确定触发条件由企业资源和用户信息来满足。 附加动作包括至少基于内容规则生成通知类型的特定通知，并向用户提供特定通知。

公开(公告)号：US20160057099A1

公开(公告)日：2016-02-25

申请号：US14932233

申请日：2015-11-04

Applicant: Google Inc.

Inventor： Brian Patrick Strope ,  Francoise Beaufays ,  Hy Murveit

IPC: H04L29/12 ,  H04M1/725 ,  H04W8/18 ,  H04L12/58 ,  H04M3/42 ,  H04W4/16

CPC classification number: H04L61/106 ,  H04L12/66 ,  H04L51/28 ,  H04L51/32 ,  H04L51/36 ,  H04M1/7255 ,  H04M3/42102 ,  H04W4/16 ,  H04W8/183

Abstract: In one implementation a computer-implemented method includes generating a group of telephone contacts for a first user, wherein the generating includes identifying a second user as a contact of the first user based upon a determination that the second user has at least a threshold email-based association with the first user; and adding the identified second user to the group of telephone contacts for the first user. The method further includes receiving a first request to connect a first telephone device associated with the first user to a second telephone device associated with the second user. The method also includes identifying a contact identifier of the second telephone device using the generated group of telephone contacts for the first user, and initiating a connection between the first telephone device and the second telephone device using the identified contact identifier.

Abstract translation: 在一个实现中，计算机实现的方法包括为第一用户生成一组电话联系人，其中生成包括基于第二用户至少具有阈值电子邮件地址的确定来将第二用户识别为第一用户的联系人， 与第一个用户的关联; 以及将所识别的第二用户添加到第一用户的电话联系人组。 该方法还包括接收将与第一用户相关联的第一电话设备连接到与第二用户相关联的第二电话设备的第一请求。 该方法还包括使用生成的第一用户的电话联系人识别第二电话设备的联系人标识符，以及使用所识别的联系人标识符来启动第一电话设备和第二电话设备之间的连接。

公开(公告)号：US20150161985A1

公开(公告)日：2015-06-11

申请号：US14186400

申请日：2014-02-21

Applicant: Google Inc.

Inventor： Fuchun Peng ,  Kanury Kanishka Rao ,  Francoise Beaufays

IPC: G10L15/06 ,  G10L15/18 ,  G10L15/26

CPC classification number: G10L15/063 ,  G10L15/26

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for verifying pronunciations. In one aspect, a method includes obtaining a first transcription for an utterance. A second transcription for the utterance is obtained. The second transcription is different from the first transcription. One or more feature scores are determined based on the first transcription and the second transcription. The one or more feature scores are input to a trained classifier. An output of the classifier is received. The output indicates which of the first transcription and the second transcription is more likely to be a correct transcription of the utterance.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于验证发音的计算机程序。 一方面，一种方法包括获得用于发音的第一转录。 获得了用于说话的第二个转录。 第二次转录与第一次转录不同。 基于第一次转录和第二次转录确定一个或多个特征得分。 将一个或多个特征得分输入到训练有素的分类器。 接收分类器的输出。 输出表明第一次转录和第二次转录中哪一个更可能是正确的发音转录。

公开(公告)号：US08959020B1

公开(公告)日：2015-02-17

申请号：US13853150

申请日：2013-03-29

Applicant: Google Inc.

Inventor： Brian Strope ,  Francoise Beaufays ,  Trevor D. Strohman

IPC: G10L15/18 ,  G06F17/24

CPC classification number: G10L15/187

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for discovery of problematic pronunciations for automatic speech recognition systems. One of the methods includes determining a frequency of occurrences of one or more n-grams in transcribed text and a frequency of occurrences of the n-grams in typed text and classifying a system pronunciation of a word included in the n-grams as correct or incorrect based on the frequencies. The n-grams may comprise one or more words and at least one of the words is classified as incorrect based on the frequencies. The frequencies of the specific n-grams may be determined across a domain using one or more n-grams that typically appear adjacent to the specific n-grams.

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，用于发现用于自动语音识别系统的有问题的发音。 其中一种方法包括确定转录文本中一个或多个n克的出现频率和类型文本中出现的n-gram的频率，并将包含在n-gram中的单词的系统发音分类为正确或 基于频率不正确。 n克可以包括一个或多个单词，并且基于频率将这些单词中的至少一个分类为不正确的。 可以使用通常出现在特定n-gram附近的一个或多个n克来跨域确定特定n克的频率。

公开(公告)号：US09747897B2

公开(公告)日：2017-08-29

申请号：US14109316

申请日：2013-12-17

Applicant: Google Inc.

Inventor： Fuchun Peng ,  Francoise Beaufays ,  Pedro J. Moreno Mengibar ,  Brian Patrick Strope

IPC: G10L15/28 ,  G10L15/187 ,  G10L15/00 ,  G10L15/22 ,  G10L15/02

CPC classification number: G10L15/187 ,  G10L15/005 ,  G10L2015/025 ,  G10L2015/227

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including selecting terms; obtaining an expected phonetic transcription of an idealized native speaker of a natural language speaking the terms; receiving audio data corresponding to a particular user speaking the terms in the natural language; obtaining, based on the audio data, an actual phonetic transcription of the particular user speaking the terms in the natural language; aligning the expected phonetic transcription of the idealized native speaker of the natural language with the actual phonetic transcription of the particular user; identifying, based on the aligning, a portion of the expected phonetic transcription that is different than a corresponding portion of the actual phonetic transcription; and based on identifying the portion of the expected phonetic transcription, designating the expected phonetic transcription as a substitute pronunciation for the corresponding portion of the actual phonetic transcription.

公开(公告)号：US09728185B2

公开(公告)日：2017-08-08

申请号：US14720113

申请日：2015-05-22

Applicant: Google Inc.

Inventor： Johan Schalkwyk ,  Francoise Beaufays ,  Hasim Sak ,  John Giannandrea

IPC: G10L15/16 ,  G10L15/18 ,  G10L15/26 ,  G06N3/02 ,  G10L15/187

CPC classification number: G10L15/18 ,  G06N3/02 ,  G06N3/0445 ,  G10L15/16 ,  G10L15/187 ,  G10L15/26

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for recognizing speech using neural networks. One of the methods includes receiving an audio input; processing the audio input using an acoustic model to generate a respective phoneme score for each of a plurality of phoneme labels; processing one or more of the phoneme scores using an inverse pronunciation model to generate a respective grapheme score for each of a plurality of grapheme labels; and processing one or more of the grapheme scores using a language model to generate a respective text label score for each of a plurality of text labels.