Robust Voice Activity Detection Algorithm Based on Feature of Frequency Modulation of Harmonics and Its DSP Implementation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, National Chiao Tung University
2. Research Center for Information Technology Innovation, Academia Sinica
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E98.D/10/E98.D_2015EDP7138/_pdf
Reference51 articles.
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2. [2] ETSI, “Voice activity detector (VAD) for adaptive multi-rate (AMR) speech traffic channels,” ETSI EN 301 708 Recommendation, 1999.
3. [3] T. Fukuda, O. Ichikawa, and M. Nishimura, “Long-term spectro-temporal and static harmonic features for voice activity detection,” IEEE J. Sel. Topics Signal Process., vol.4, no.5, pp.834-844, 2010.
4. [4] M.W. Mak and H.B. Yu, “A study of voice activity detection techniques for NIST speaker recognition evaluations,” Comput. Speech Lang., vol.28, no.1, pp.295-313, 2014.
5. [5] I. McCowan, D. Dean, M. McLaren, R. Vogt, and S. Sridharan, “The delta-phase spectrum with application to voice activity detection and speaker recognition,” IEEE Trans. Audio, Speech, Language Process., vol.19, no.7, pp.2026-2038, 2011.
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