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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 numberdoi:10.1109/icassp.2010.5495923 dblp:conf/icassp/GraciarenaDSSF10 fatcat:obrnmtbnofhb7mb43hb2qgtx7e