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。

公开(公告)号：US09240177B2

公开(公告)日：2016-01-19

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: G10L13/06 ,  G10L13/08 ,  G10L13/02 ,  G10L13/00

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。