Higher order cepstral moment normalization (HOCMN) for robust speech recognition

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2004, Pages

  Hsu, Chang Wen ^a   Lee, Lin Shan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; ERROR ANALYSIS; INTEGER PROGRAMMING; MATHEMATICAL TRANSFORMATIONS; SIGNAL PROCESSING; SIGNAL THEORY;

CEPSTRAL MEAN SUBTRACTION (CMS); CEPSTRAL NORMALIZATION (CN); GAUSSIAN DISTRIBUTION; SPEECH SIGNALS;

SPEECH RECOGNITION;

EID: 4544345512     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. S. Fund, "Cepstral Analysis Technique for Automatic Speaker Verification", IEEE Trans. Acoust. Speech Signal Process. 1981
2. O. Viikki, K. Laurila, "Cepstral Domain Segmental Feature Vector Normalization for Noise Robust Speech Recognition", Speech Communication, Vol. 25, pp. 133-147, August 1998.
3. Y. H. Suk, S. H. Choi, H. S. Lee, "Cepstrum Third-order Normalization Method for Noisy Speech Recognition", Electronics Letters, Vol. 35, no. 7, pp. 527-528, April 1999.
4. H. G. Hirsch, D. Pearce, "The AURORA Experimental Framework for the Performance Evaluations of Speech Recognition Systems under Noisy Conditions", ISCA ITRW ASR2000, Paris, September 2000.