CASA-Based Robust Speaker Identification

Conventional speaker recognition systems perform poorly under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by producing a binary time-frequency mask. We investigate CASA for robust speaker identification. We first introdu...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-07, Vol.20 (5), p.1608-1616
Hauptverfasser:	Zhao, Xiaojia, Shao, Yang, Wang, DeLiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Cepstral analysis Computational auditory scene analysis (CASA) Exact sciences and technology Feature extraction Filter banks gammatone frequency cepstral coefficient (GFCC) ideal binary mask Information, signal and communications theory Miscellaneous Noise measurement robust speaker identification Robustness Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Speaker recognition Speech Speech processing Telecommunications and information theory
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