Please use this identifier to cite or link to this item:
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.
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
Show full item record


checked on Feb 21, 2021

Page view(s)

checked on Feb 22, 2021

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.