ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY
Zhihao Zhang, Jinlong Lin
2009
Abstract
A new Voice Activity Detection (VAD) method is proposed to track the various background noises and it can be robust in both stationary and variable noise environments. Many previous VAD methods assume that the background only contains certain kinds of noises, so they could not deal with the noise in practical applications efficiently. In proposed approach, determinate speech, determinate noise and potential speech regions are defined. The first two regions are located with extracted pitch contour information and the ambiguous region will be further retrieved using updated thresholds of sub-bands energy in obtained determinate noise’s frequency domain. Experiments are carried out with an exhaustive comparison to three standard VAD methods: G729b, ETSI AFE and AMR. The result shows that our approach has a more robust performance than others in the real circumstances.
References
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Paper Citation
in Harvard Style
Zhang Z. and Lin J. (2009). ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009) ISBN 978-989-674-007-8, pages 44-48. DOI: 10.5220/0002221000440048
in Bibtex Style
@conference{sigmap09,
author={Zhihao Zhang and Jinlong Lin},
title={ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)},
year={2009},
pages={44-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002221000440048},
isbn={978-989-674-007-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2009)
TI - ROBUST VOICE ACTIVITY DETECTION BASED ON PITCH AND SUB-BAND ENERGY
SN - 978-989-674-007-8
AU - Zhang Z.
AU - Lin J.
PY - 2009
SP - 44
EP - 48
DO - 10.5220/0002221000440048