vad_lrt_hmm

A statistical model-based Voice Activity Detector

A voice activity detector applied a statistical model has been made in [2], where the decision rule is derived from the likelihood ratio test (LRT) by estimating unknown parameters using the decision-directed method. Hang-over scheme based on the hidden Markov model (HMM) are applied for smoothing.

run

python vad.py

references

[1] J. Sohn, N. S. Kim, and W. Sung. “A statistical model-based voice activity detection,” IEEE Signal Processing Letters, Vol. 6, issue 1, pp. 1-3, Jan. 1999.

[2] Y. Ephraim and D. Malah, “Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator,” IEEE Trans Acoustics Speech and Signal Processing, VOL. 32(6):1109-1121, Dec 1984.

NOTE

forked from Voice_Activity_Detector