Invention Grant
US09406299B2 Differential acoustic model representation and linear transform-based adaptation for efficient user profile update techniques in automatic speech recognition
有权
差分声学模型表示和基于线性变换的自适应,用于自动语音识别中的高效用户简档更新技术
- Patent Title: Differential acoustic model representation and linear transform-based adaptation for efficient user profile update techniques in automatic speech recognition
- Patent Title (中): 差分声学模型表示和基于线性变换的自适应,用于自动语音识别中的高效用户简档更新技术
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Application No.: US14399867Application Date: 2012-03-08
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Publication No.: US09406299B2Publication Date: 2016-08-02
- Inventor: Christian Gollan , Daniel Willett
- Applicant: Christian Gollan , Daniel Willett
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Banner & Witcoff, Ltd.
- International Application: PCT/US2012/036903 WO 20120308
- International Announcement: WO2013/169232 WO 20131114
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L17/06 ; G10L15/28 ; G10L15/07 ; G10L15/22 ; G10L15/30

Abstract:
A computer-implemented method is described for speaker adaptation in automatic speech recognition. Speech recognition data from a particular speaker is used for adaptation of an initial speech recognition acoustic model to produce a speaker adapted acoustic model. A speaker dependent differential acoustic model is determined that represents differences between the initial speech recognition acoustic model and the speaker adapted acoustic model. In addition, an approach is also disclosed to estimate speaker-specific feature or model transforms over multiple sessions. This is achieved by updating the previously estimated transform using only adaptation statistics of the current session.
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