Invention Grant
- Patent Title: Speech recognition using non-parametric models
- Patent Title (中): 使用非参数模型的语音识别
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Application No.: US13895582Application Date: 2013-05-16
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Publication No.: US09336771B2Publication Date: 2016-05-10
- Inventor: Ciprian I. Chelba
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G10L15/22
- IPC: G10L15/22 ; G10L15/06 ; G10L15/14 ; G10L15/02

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using non-parametric models in speech recognition. In some implementations, speech data is accessed. The speech data represents utterances of a particular phonetic unit occurring in a particular phonetic context, and the speech data includes values for multiple dimensions. Boundaries are determined for a set of quantiles for each of the multiple dimensions. Models for the distribution of values within the quantiles are generated. A multidimensional probability function is generated. Data indicating the boundaries of the quantiles, the models for the distribution of values in the quantiles, and the multidimensional probability function are stored.
Public/Granted literature
- US20150371633A1 SPEECH RECOGNITION USING NON-PARAMETRIC MODELS Public/Granted day:2015-12-24
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