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US Patent 8239195 Adapting a compressed model for use in speech recognition

Patent 8239195 was granted and assigned to Microsoft on August, 2012 by the United States Patent and Trademark Office.

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Patent
Patent
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Current Assignee
Microsoft
Microsoft
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
82391950
Patent Inventor Names
Yifan Gong0
Alejandro Acero0
Dong Yu0
Jian Wu0
Jinyu Li0
Li Deng0
Date of Patent
August 7, 2012
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Patent Application Number
122357480
Date Filed
September 23, 2008
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Patent Citations Received
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US Patent 11776531 Encoder-decoder models for sequence to sequence mapping
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US Patent 11769493 Training acoustic models using connectionist temporal classification
Patent Primary Examiner
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Abul Azad
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Patent abstract

A speech recognition system includes a receiver component that receives a distorted speech utterance. The speech recognition also includes an adaptor component that selectively adapts parameters of a compressed model used to recognize at least a portion of the distorted speech utterance, wherein the adaptor component selectively adapts the parameters of the compressed model based at least in part upon the received distorted speech utterance.

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