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We have earlier found that the sinusoidal modeling and related parametrization is a promising technique for the automatic analysis and recognition of typical sounds produced by songbirds. In this article we study techniques that can be used to characterize sounds that cannot be efficiently parameterized using the sinusoidal model. Most familiar examples of such sounds are creaky sounds of Crows and...
Identification of bird species based on their vocalization is studied in this paper. The main focus is introducing a new parametric representation of bird sounds for automatic identification of their species. The method is based on the statistics of local temporal patterns in bird vocalization. Two different sets of bird species are used in the classification tests. The first set contains six species...
Automatic identification of bird species by their vocalization is studied in this paper. Bird sounds are represented with two different parametric representations: (i) the mel-cepstrum parameters and (ii) a set of low-level signal parameters, both of which have been found useful for bird species recognition. Recognition is performed in a decision tree with support vector machine (SVM) classifiers...
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