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Eigenvoice re-estimation technique of acoustic models for speech recognition, speaker identification and speaker verification
Eigenvoice re-estimation technique of acoustic models for speech recognition, speaker identification and speaker verification
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机译:用于语音识别,说话人识别和说话人验证的声学模型的特征语音重新估计技术
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摘要
A reduced dimensionality eigenvoice analytical technique is used during training to develop context-dependent acoustic models for allophones. Re-estimation processes are performed to more strongly separate speaker-dependent and speaker-independent components of the speech model. The eigenvoice technique is also used during run time upon the speech of a new speaker. The technique removes individual speaker idiosyncrasies, to produce more universally applicable and robust allophone models. In one embodiment the eigenvoice technique is used to identify the centroid of each speaker, which may then be “subtracted out” of the recognition equation.
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