Effective Speech Endpoint Detection Algorithm For Voiceprint Recognition

DOI

10.2991/icismme-15.2015.352How to use a DOI?

Keywords

Voiceprint processing; Speech endpoint detection; Voiceprint recognition

Abstract

Speech voiceprint recognition with noise in complex real phone channel environment is still a critical challenge even the recognition method works well enough in non-noise situation. Background noise, especially dial tone of voice, which is the voice from surrounding disturbs the accuracy of recognition. One key problem of voiceprint processing is how to locate when the voice start and stop, and another one is how to remove all kinds of noise effectively. In this paper, we tackle these two problems and propose an endpoint detection algorithm which based on a double threshold method by processing short-time energy and linear prediction cepstrum distance. By compensating the high frequency part of the speech signal and the frequency spectrum of the signal become flat, we avoid the energy losing of small voice signal and improve the accuracy of detection. Our algorithm remains the principle of speech signal with little cost. Experiment shows the effectiveness of our algorithm both in public voiceprint dataset and real public security case dataset.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Wang
AU  - Longfei Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Effective Speech Endpoint Detection Algorithm For Voiceprint Recognition
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 1703
EP  - 1707
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.352
DO  - 10.2991/icismme-15.2015.352
ID  - Wang2015/07
ER  -