Invention Grant
- Patent Title: Method and system for non-parametric voice conversion
- Patent Title (中): 非参数语音转换的方法和系统
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Application No.: US14069510Application Date: 2013-11-01
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Publication No.: US09183830B2Publication Date: 2015-11-10
- Inventor: Ioannis Agiomyrgiannakis
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: McDonnell Boehnen Hulbert & Berghoff LLP
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/04 ; G10L15/14 ; G10L13/02 ; G10L21/003 ; G10L15/07 ; G10L13/033 ; G10L15/26

Abstract:
A method and system is disclosed for non-parametric speech conversion. A text-to-speech (TTS) synthesis system may include hidden Markov model (HMM) HMM based speech modeling for both synthesizing output speech. A converted HMM may be initially set to a source HMM trained with a voice of a source speaker. A parametric representation of speech may be extract from speech of a target speaker to generate a set of target-speaker vectors. A matching procedure, carried out under a transform that compensates for speaker differences, may be used to match each HMM state of the source HMM to a target-speaker vector. The HMM states of the converted HMM may be replaced with the matched target-speaker vectors. Transforms may be applied to further adapt the converted HMM to the voice of target speaker. The converted HMM may be used to synthesize speech with voice characteristics of the target speaker.
Public/Granted literature
- US20150127350A1 Method and System for Non-Parametric Voice Conversion Public/Granted day:2015-05-07
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