A Pitch Detection Algorithm for Ultra-low-bit-rate Vocoder

DOI

10.2991/iccasm.2012.179How to use a DOI?

Keywords

Pitch detection, ultra-low-bit-rate, dynamic programming, frequency-time domain analysis

Abstract

Pitch is one of the most important parameters to describe the speech characteristics. The paper proposed a new pitch detection algorithm for ultra-low-bit-rate vocoder based on dynamic programming as well as frequency-time domain analysis to eliminate the multi-half pitch errors. The algorithm detected the candidate pitches based on auto correlation function firstly and then utilized the dynamic programming and frequency-time domain analysis to get the final pitch. Simulation result showed that the algorithm had a better performance and could eliminate the multi-half pitch errors efficiently.

Copyright

© 2012, 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  - Ye Li
AU  - Jingsai Jiang
AU  - Qiuyun Hao
AU  - Yanhong Fan
AU  - Xiaofeng Ma
PY  - 2012/08
DA  - 2012/08
TI  - A Pitch Detection Algorithm for Ultra-low-bit-rate Vocoder
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 706
EP  - 709
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.179
DO  - 10.2991/iccasm.2012.179
ID  - Li2012/08
ER  -