Pitch-based gender identification with two-stage classification

In this paper, we address the speech‐based gender identification problem. Mel‐Frequency Cepstral Coefficients (MFCC) of voice samples are typically used as the features for gender identification. However, MFCC‐based classification incurs high complexity. This paper proposes a novel pitch‐based gende...

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Veröffentlicht in:	Security and communication networks 2012-02, Vol.5 (2), p.211-225
Hauptverfasser:	Hu, Yakun, Wu, Dapeng, Nucci, Antonio
Format:	Artikel
Sprache:	eng
Schlagworte:	energy separation Gaussian Mixture Model gender identification pitch suspicious speaker detection
Online-Zugang:	Volltext
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