Speech recognition system including speech section detecting...

Details Speech recognition system including speech section detecting... Speech recognition system including speech section detecting...

2006-04-25

2006-04-25

Young, W. R. (Department: 2655)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S236000, C704S243000

Reexamination Certificate

active

07035798

ABSTRACT:
A trained vector generation section16generates beforehand a trained vector v of unvoiced sounds. An LPC Cepstrum analysis section18generates a feature vector A of a voice within the non-voice period, an inner product operation section19calculates an inner product value VTA between the feature vector A and the trained vector V, and a threshold generation section20generates a threshold θv on the basis of the inner product value VTA. Also, the LFC Cepstrum analysis section18generates a prediction residual power ε of the signal within the non-voice period, and the threshold generation section22generates a threshold THD on the basis of the prediction residual power ε. If the voice is actually uttered, the LPC Cepstrum analysis section18generates the feature vector A and the prediction residual power ε, the inner product operation section19calculates an inner product value VTA between the feature vector A of input signal Saf and the trained vector V, and a threshold determination section21compares the inner product value VTA with the threshold θv and determines the voice section if θv≦VTA. Also, a threshold determination section23compares the prediction residual power ε of input signal Saf with the threshold THD and determines the voice section if THD≦ε. The voice section is finally defined if θv≦VTA or THD≦ε, and the input signal Svc for voice recognition is extracted.

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