Eigenvoice re-estimation technique of acoustic models for...

Details Eigenvoice re-estimation technique of acoustic models for... Eigenvoice re-estimation technique of acoustic models for...

2005-05-17

2005-05-17

McFadden, Susan (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S255000, C704S203000

Reexamination Certificate

active

06895376

ABSTRACT:
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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