Robust voice activity detection using higher-order statistics in the LPC residual domain.

Robust voice activity detection using higher-order statistics in the LPC residual domain.

This paper presents a robust algorithm for voice activity detection (VAD) based on newly established properties of the higher order statistics (HOS) of speech. Analytical expressions for the third and fourth-order cumulants of the LPC residual of short-term speech are derived assuming a sinusoidal m...

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Bibliografski detalji
Izdano u:IEEE Transactions on speech and audio processing 9, 3 (2001).
Glavni autor: Nemer, E.
Format: Članak
Jezik:English
Teme:
Gaussian noise.
ITU-T G.729B VAD.
LPC prediction error.
LPC residual domain.
VAD algorithm.
Autocorrelation function.
Closed-form expressions.
Correct classification probability.
False classification probability.
Flat spectral feature.
Fourth-order cumulants.
Harmonic content.
Higher-order statistics.
Kurtosis.
Likelihood measure.
Low SNR.
Noise frames.
Periodicity.
Phase.
Short-term speech.
Sinusoidal model.
Skewness.
Speech detection.
Third-order cumulants.
Voice activity detection.
Voiced speech.