Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation

Computer Speech & Language(2014)

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摘要
•Designing suitable prior distributions is important for MAP-based methods.•We propose a framework to characterize local information of acoustic environments.•With the local information, suitable prior distributions can be designed.•Four algorithms to specify hyper-parameters for prior distributions are derived.•Results confirm the advantage of using local information to MAP-based methods.
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关键词
MAP,Feature compensation,Acoustic model adaptation,Local information,Hyper-parameter specification,Noise robustness
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