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ICASSP
2010
IEEE

Acoustic front-end optimization for bird species recognition

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Acoustic front-end optimization for bird species recognition
The goal of this work was to explore the optimization of the feature extraction module (front-end) parameters to improve bird species recognition. We explored optimizing the spectral and temporal parameters of a Mel cepstrum feature-based front-end, starting from common parameter values used in speech processing experiments. These features were modeled using a Gaussian mixture model (GMM) system. We found an important improvement when increasing the spectral bandwidth and increasing the number of filter banks. We found no improvement when switching the filter bank distribution from the perceptually based Mel frequency scale to a linear frequency scale. In addition, no improvement was found when we either reduced or increased the time resolution. On the other hand, we found that the best time resolution is species dependent. We did find great improvements from a species-specific combination of different front-ends with different time resolutions relative to using the same front-end tim...
Martin Graciarena, Michelle Delplanche, Elizabeth
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ICASSP
Authors Martin Graciarena, Michelle Delplanche, Elizabeth Shriberg, Andreas Stolcke, Luciana Ferrer
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