公开(公告)号：US20150073811A1

公开(公告)日：2015-03-12

申请号：US14540131

申请日：2014-11-13

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Michael J. JOHNSTON ,  Srinivas BANGALORE

IPC: G06F3/16 ,  G06F3/01

CPC classification number: G06F3/167 ,  G06F3/017 ,  G06F17/2247 ,  G06F17/2264 ,  G06F17/2775 ,  G06F17/28 ,  Y10S707/99934 ,  Y10S707/99943 ,  Y10S707/99948

Abstract: When using finite-state devices to perform various functions, it is beneficial to use finite state devices representing regular grammars with terminals having markup-language-based semantics. By using markup-language-based symbols in the finite state devices, it is possible to generate valid markup-language expressions by concatenating the symbols representing the result of the performed function. The markup-language expression can be used by other applications and/or devices. Finite-state devices are used to convert strings of words and gestures into valid markup-language, for example, XML, expressions that can be used, for example, to provide an application program interface to underlying system applications.

Abstract translation: 当使用有限状态设备来执行各种功能时，使用表示具有标记语言语义的终端的常规语法的有限状态设备是有益的。 通过在有限状态设备中使用基于标记语言的符号，可以通过连接表示所执行功能的结果的符号来生成有效的标记语言表达。 标记语言表达式可以由其他应用程序和/或设备使用。 有限状态设备用于将字串和手势转换为有效的标记语言，例如XML，可以使用的表达式，例如为基础系统应用程序提供应用程序接口。

公开(公告)号：US20150019210A1

公开(公告)日：2015-01-15

申请号：US14499888

申请日：2014-09-29

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas BANGALORE ,  Narendra K. GUPTA ,  Mazin G. RAHIM

IPC: G06F17/27 ,  G10L15/26

CPC classification number: G06F17/2705 ,  G06F17/218 ,  G06F17/27 ,  G06F17/2775 ,  G10L15/05 ,  G10L15/26 ,  G10L2015/025 ,  G10L2015/081 ,  G10L2015/088

Abstract: A clausifier and method of extracting clauses for spoken language understanding are disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

Abstract translation: 公开了一种提取语言理解条款的分类器和方法。 该方法涉及从语音话语文本生成一组子句，并且包括在与句子边界相关的语音话语文本中插入至少一个边界标签，插入指示语音话语文本的一部分的至少一个编辑标签以移除，并插入到 讲话话语文本内的至少一个连接标签。 结果是可以根据插入的至少一个边界标签，至少一个编辑标签和至少一个连接标签在语音发音文本内识别的一组子句。 所公开的分类器包括句子边界分类器，编辑检测器分类器和连接检测器分类器。 克隆器可以包括单个分类器或多个分类器，以执行识别句子边界，编辑文本以及识别文本内的连词的步骤。

公开(公告)号：US20140188480A1

公开(公告)日：2014-07-03

申请号：US14196578

申请日：2014-03-04

Applicant: AT&T Intellectual Property II, L.P.

Inventor： Srinivas BANGALORE ,  Junlan Feng ,  Mazin G. Rahim ,  Juergen Schroeter ,  Ann K. Syrdal ,  David Schulz

IPC: G10L13/02

CPC classification number: G10L13/033 ,  G10L13/00 ,  G10L13/02 ,  G10L13/06 ,  G10L13/08 ,  G10L15/197

Abstract: A system and method are disclosed for generating customized text-to-speech voices for a particular application. The method comprises generating a custom text-to-speech voice by selecting a voice for generating a custom text-to-speech voice associated with a domain, collecting text data associated with the domain from a pre-existing text data source and using the collected text data, generating an in-domain inventory of synthesis speech units by selecting speech units appropriate to the domain via a search of a pre-existing inventory of synthesis speech units, or by recording the minimal inventory for a selected level of synthesis quality. The text-to-speech custom voice for the domain is generated utilizing the in-domain inventory of synthesis speech units. Active learning techniques may also be employed to identify problem phrases wherein only a few minutes of recorded data is necessary to deliver a high quality TTS custom voice.

Abstract translation: 公开了用于为特定应用产生定制的文本到语音语音的系统和方法。 该方法包括通过选择用于生成与域相关联的自定义文本到语音语音的语音来生成自定义文本到语音语音，从预先存在的文本数据源收集与域相关联的文本数据，并使用收集的 文本数据，通过搜索合成语音单元的预先存在的库存来选择适合于该域的语音单元，或者通过记录所选合成质量水平的最小库存来生成合成语音单元的域内库存。 使用合成语音单元的域内库存来生成域的文本到语音定制语音。 还可以使用主动学习技术来识别问题短语，其中只需要几分钟的记录数据来传送高质量的TTS定制语音。