Voice Activity Detector (VAD) based on long-term phonetic features
DOI:
https://doi.org/10.36505/ExLing-2016/07/0005/000264Keywords:
Voice Activity Detector, classification, decision tree ensemble, auditory masking, phonetic featuresAbstract
We propose a VAD using long-term phonetically motivated features with auditory masking, and pre-trained decision tree based classifier, which allows capturing syllable level structure of speech and discriminating it from common noise types. The algorithm demonstrates on test dataset almost 100% acceptance of clear voice for English, Chinese, Russian, and Polish speech and 100% rejection of stationary noises independently of loudness with low computational cost.
References
Fant, G. 1960. Acoustic theory of speech production: With calculations based on x-ray studies of Russian articulations.
Fastl, H., Zwicker, E. 2006. Psychoacoustics: facts and models, vol. 22. Springer Science & Business Media.
Zhou, Z.H. 2012. Ensemble methods: foundations and algorithms. CRC Press.
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Copyright (c) 2016 Andrey Barabanov, Daniil Kocharov, Sergey Salishev, Pavel Skrelin, Mikhail Moiseev (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles are published under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
