公开(公告)号：US20180012594A1

公开(公告)日：2018-01-11

申请号：US15205505

申请日：2016-07-08

Applicant: Google Inc.

Inventor： Behshad Behzadi ,  Dmitry Osmakov ,  Martin Baeuml ,  Gleb Skobeltsyn

IPC: G10L15/183 ,  G10L15/14 ,  G06F17/30 ,  G10L15/02 ,  G10L15/26 ,  G10L15/18

CPC classification number: G10L15/183 ,  G06F17/279 ,  G06F17/30684 ,  G10L15/02 ,  G10L15/14 ,  G10L15/1815 ,  G10L15/26

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting follow-up queries to an initial transcription of an utterance. In some implementations, one or more follow-up queries that are pre-associated with a transcription of an initial utterance of a user are identified. A new or modified language model in which a respective probability associated with one or more of the follow-up queries is increased with respect to an initial language model is obtained. Subsequent audio data corresponding to a subsequent utterance of the user is then received. The subsequent audio data is processed using the new or modified language model to generate a transcription of the subsequent utterance. The transcription of the subsequent utterance is then provided for output to the user.

公开(公告)号：US09865260B1

公开(公告)日：2018-01-09

申请号：US15585363

申请日：2017-05-03

Applicant: Google Inc.

Inventor： Vladimir Vuskovic ,  Stephan Wenger ,  Zineb Ait Bahajji ,  Martin Baeuml ,  Alexandru Dovlecel ,  Gleb Skobeltsyn

IPC: G10L15/22 ,  G10L15/18 ,  G06F17/27

CPC classification number: G06F17/278 ,  G06F17/279 ,  G06F17/2881 ,  G10L15/22

Abstract: Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.

公开(公告)号：US09576578B1

公开(公告)日：2017-02-21

申请号：US14824902

申请日：2015-08-12

Applicant: Google Inc.

Inventor： Gleb Skobeltsyn ,  Alexandru Ovidiu Dovlecel ,  Carl-Anton Ingmarsson ,  Martin Baeuml ,  Behshad Behzadi ,  Dmitry Osmakov

IPC: G10L15/26 ,  G10L15/08 ,  G06F17/30

CPC classification number: G10L15/26 ,  G06F17/30684 ,  G06F17/30746 ,  G10L15/22 ,  G10L2015/226

Abstract: Methods, including computer programs encoded on a computer storage medium, for collaborative language model biasing. In one aspect, a method includes: obtaining (i) one or more initial candidate transcriptions, and (ii) one or more terms that are associated with a context; selecting one or more of the terms that are associated with the context, and that (i) do not occur in the candidate transcriptions, and (ii) are indicated as phonetically similar to one or more terms that do occur in the initial candidate transcriptions; generating one or more additional candidate transcriptions based on the (i) initial candidate transcriptions, and (ii) the selected terms; and providing the one or more additional candidate transcriptions to an automated speech recognizer.

Abstract translation: 方法，包括在计算机存储介质上编码的计算机程序，用于协作语言模型偏移。 一方面，一种方法包括：获得（i）一个或多个初始候选转录，以及（ii）与上下文相关联的一个或多个术语; 选择与上下文相关联的一个或多个术语，并且（i）不在候选转录中发生，并且（ii）被表示为与在初始候选转录中确实发生的一个或多个术语的语音相似; 基于（i）初始候选转录，和（ii）所选择的术语生成一个或多个另外的候选转录; 以及将一个或多个附加候选转录提供给自动语音识别器。

公开(公告)号：US20180033426A1

公开(公告)日：2018-02-01

申请号：US15224104

申请日：2016-07-29

Applicant: Google Inc.

Inventor： Olga Kapralova ,  Evgeny A. Cherepanov ,  Dmitry Osmakov ,  Martin Baeuml ,  Gleb Skobeltsyn

IPC: G10L15/06 ,  G10L15/10 ,  G10L15/01

CPC classification number: G10L15/063 ,  G10L15/01 ,  G10L15/06 ,  G10L15/10 ,  G10L15/22 ,  G10L15/32 ,  G10L2015/0635 ,  G10L2015/0638

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for speech recognition. One of the methods includes receiving first audio data corresponding to an utterance; obtaining a first transcription of the first audio data; receiving data indicating (i) a selection of one or more terms of the first transcription and (ii) one or more of replacement terms; determining that one or more of the replacement terms are classified as a correction of one or more of the selected terms; in response to determining that the one or more of the replacement terms are classified as a correction of the one or more of the selected terms, obtaining a first portion of the first audio data that corresponds to one or more terms of the first transcription; and using the first portion of the first audio data that is associated with the one or more terms of the first transcription to train an acoustic model for recognizing the one or more of the replacement terms.