A comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an Automatic Bird Species Recognition System

被引：0
|
作者：
Pedroza Ramirez, Angel David [1 ]
de la Rosa Vargas, Jose Ismael [1 ]
Rosas Valdez, Rogelio [1 ]
Becerra, Aldonso [1 ]
机构：
[1] Univ Autonoma Zacatecas, Unidad Acad Ingn Elect, Zacatecas, Mexico
来源：
2018 IEEE LATIN AMERICAN CONFERENCE ON COMPUTATIONAL INTELLIGENCE (LA-CCI) | 2018年
关键词：
bioacoustics; bird classification; HMM; IMFCC; MFCC;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a comparative between Mel Frequency Cepstral Coefficients (MFCC) and Inverse Mel Frequency Cepstral Coefficients (IMFCC) features for an automatic bird species recognition system is proposed with the aim to validate IMFCC as a feature that can also be extracted for bird species recognition. In biodiversity monitoring task there are some traditional techniques and, bioacoustics studies biodiversity by a noninvasive way based on the relationship between animal species and its sounds. Bioacoustics methodology for avian conservation are based on automatic speech recognition techniques and one of the traditional extracted features in this area are MFCC. Nevertheless some new studies uses IMFCC as a complementary frequency information. From results, it is concluded that IMFCC features have better performance than traditional MFCC features but, performance still depends on the recognized bird sound.
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页数：4
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