Arti V. Bang
ABSTRACT
This paper deals with techniques for automatic recognition of bird species based on audio recordings of their sounds. Perceptual features, Mel-frequency cepstral coefficients are extracted from the sound files. For dimensionality reduction Mean computation, Principal Component Analysis and Vector Quantization is used and compared. Classification is carried out using k-nearest neighbour classifier. In our experiment, classification accuracy of 82% is achieved for the classification of ten bird species.
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Index Terms
- Recognition of Bird Species from their Sounds using Data Reduction Techniques
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