Block-diagonal covariance joint subspace tying and model...

Details Block-diagonal covariance joint subspace tying and model... Block-diagonal covariance joint subspace tying and model...

2006-03-06

2010-06-01

Lerner, Martin (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S243000, C704S256200

Reexamination Certificate

active

07729909

ABSTRACT:
Model compression is combined with model compensation. Model compression is needed in embedded ASR to reduce the size and the computational complexity of compressed models. Model-compensation is used to adapt in real-time to changing noise environments. The present invention allows for the design of smaller ASR engines (memory consumption reduced to up to one-sixth) with reduced impact on recognition accuracy and/or robustness to noises.

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