Power-Normalized Cepstral Coefficients (PNCC) for robust speech recognition

This paper presents a new feature extraction algorithm called Power Normalized Cepstral Coefficients (PNCC) that is based on auditory processing. Major new features of PNCC processing include the use of a power-law nonlinearity that replaces the traditional log nonlinearity used in MFCC coefficients...

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Bibliographische Detailangaben
Hauptverfasser:	Chanwoo Kim, Stern, R. M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy asymmetric filtering feature extraction medium-time power estimation Mel frequency cepstral coefficient modulation filtering Noise on-line speech processing physiological modeling rate-level curve Reverberation Robust speech recognition Speech Speech processing Speech recognition temporal masking
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