Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44025
Title: Katydids acoustic classification on verification approach based on MFCC and HMM
Authors: Chaves, Victor A Elizondo
Travieso, Carlos M. 
Camacho, Arturo
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Hidden Markov models , Mel frequency cepstral coefficient , Databases , Support vector machine classification , Proposals , Insects , Mel Cepstrum Coefficients , Hidden Markov Models , Signal Processing , Sound Classification , Acoustic Monitoring , Katydids
Issue Date: 2012
Journal: INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings
Conference: IEEE 16th International Conference on Intelligent Engineering Systems, INES 2012 
Abstract: This work presents a new proposal towards the development of an intelligent system for automatic classification of katydids. Katydid is the common name of a certain large, singing, winged insects that belongs to the long-horned grasshopper family (Tettigoniidae) in the order of the Opthoptera. We propose a sound parameterization using Mel Frequency Cepstral Coefficients (MFCC) because these coefficients approximate the human auditory system's response more closely than linear-spaced frequencies. This proposal is based on the use of a HMM classifier to process the MFCCs. Our proposal is based on two approaches, identification and verification; and it has obtained 99.31% of accuracy in the identification stage and has increased to 99.97% of accuracy in the verification stage.
URI: http://hdl.handle.net/10553/44025
ISBN: 9781467326957
DOI: 10.1109/INES.2012.6249897
Source: INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings (6249897), p. 561-566
Appears in Collections:Actas de congresos
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