An Insect Song Signal Feature Extraction Method Based on the Wavelet Packet Analysis

Abstract:

The wavelet packet decomposition method was used to two common insects song signal. Frequency decomposition and feature extraction were made, the feature vectors, eigenvalues and the sound quality evaluation parameter vectors were constructed, then the correlation analysis calculation were made between the eigenvalues and the sound quality evaluation parameter vectors. The results show that the correlation coefficients are good, the average correlation coefficients of cricket and grasshopper song signals are 0.8875 and 0.6942, the results of cricket is much better than grasshopper, it proved that the proposed algorithm is more suitable for cricket song signals analysis, a new and effective sound quality evaluation method for typical insect with friction sound mechanism is provided.

• Periodical: Applied Mechanics and Materials (Volumes 423-426)
• Pages: 2614-2617
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.423-426.2614
• Online since: September 2013
• Authors: Jun Xie, Hong Wei Wang, Mei Zhao, Kai Yu Yang
• Keywords: Feature Extraction, Insect Song Signal, Sound Quality, Wavelet Packet Analysis

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