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Voice activity detection using subband noncircularity

Code for paper [1] presented at ICASSP 2015. Please cite this paper if you find this code useful! There are two main scripts ready to be run out of the box:

main_demo.m Reproduces figures 3 and 4 from [1]

main_test_circ_vad.m Computes the single-channel summed degree of impropriety (SDOI) metric from [1] on the included example audio, which comes from the QUT-NOISE corpus [2].

[1] S. Wisdom, G. Okopal, L. Atlas, and J. Pitton, “Voice Activity Detection Using Subband Noncircularity,” in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Austrailia, 2015.

[2] D. B. Dean, S. Sridharan, R. J. Vogt, and M. W. Mason, “The QUT-NOISE-TIMIT corpus for the evaluation of voice activity detection algorithms,” in Proc. Interspeech, Makuhari, Japan, 2010.

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