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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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