The acoustic features based on pitch detection after process analysis

DOI

10.2991/icamcs-16.2016.7How to use a DOI?

Keywords

Speech signal, Cepstrum method, Autocorrelation method, Pitch period,

Abstract

In the field of speech signal processing, a pitch detection algorithm (PDA) is commonly used to estimate pitch or fundamental frequency. If the given speech signal is clean, the algorithm can achieve better detection result. However, in general, the speech signal would inevitably influenced by the background noise, the detection algorithm may not work well and the detected pitches may deviated from the correct position. In this paper we propose a new approach for improving the accuracy of pitch detection. This approach uses a median filter to remove the outliers in the results produced by short-time autocorrelation or cepstrum method. The conducted experiments show that the proposed approach works well.

Copyright

© 2016, 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  - Ying Ma
AU  - Chao Chen
AU  - Maoshen Jia
AU  - Shanji Chen
PY  - 2016/06
DA  - 2016/06
TI  - The acoustic features based on pitch detection after process analysis
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 27
EP  - 32
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.7
DO  - 10.2991/icamcs-16.2016.7
ID  - Ma2016/06
ER  -