The Python library for an unsupervised, fast method for robust voice activity detection (rVAD), as presented in the paper rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method, Computer Speech and Language, 2020. More info on the rVAD GitHub page.
Fast noise-robust voice activity detection algorithm (rVAD-fast).
Version 2.0
02 Dec 2017, Achintya Kumar Sarkar and Zheng-Hua Tan
Usage: python rVAD_fast_2.0.py inWaveFile outputVadLabel
Refs:
[1] Z.-H. Tan, A.k. Sarkara and N. Dehak, "rVAD: an unsupervised segment-based robust voice activity detection method," Computer Speech and Language, vol. 59, pp. 1-21, 2020.
[2] Z.-H. Tan and B. Lindberg, "Low-complexity variable frame rate analysis for speech recognition and voice activity detection,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 5, pp. 798-807, 2010.
Contact:
Prof Zheng-Hua Tan
Aalborg University, Denmark
zt@es.aau.dk
https://vbn.aau.dk/en/persons/107665