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

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

Volumn , Issue , 2012, Pages 4101-4104

  Kim, Chanwoo ^a   Stern, Richard M ^b  

^a Carnegie Mellon University   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

asymmetric filtering; feature extraction; medium time power estimation; modulation filtering; on line speech processing; physiological modeling; rate level curve; Robust speech recognition; temporal masking

Indexed keywords

MODULATION FILTERING; POWER ESTIMATIONS; RATE-LEVEL CURVE; ROBUST SPEECH RECOGNITION; TEMPORAL MASKING;

ACOUSTIC NOISE; FEATURE EXTRACTION; PHYSIOLOGICAL MODELS; SIGNAL PROCESSING; SPEECH PROCESSING;

SPEECH RECOGNITION;

EID: 84867608537     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288820     Document Type: Conference Paper

References (10)

1. B. C. J. Moore and B. R. Glasberg, "A revision of Zwicker's loudness model," Acustica - Acta Acustica, vol. 82, pp. 335-345, 1996.
2. C. Kim, "Signal processing for robust speech recognition motivated by auditory processing," Ph.D. dissertation, Carnegie Mellon University, Pittsburgh, PA USA, October 2010.
3. C. Kim and R. M. Stern, "Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition," IEEE Trans. Audio, Speech, Lang. Process., (in submission).
4. C. Kim and R. M. Stern, "Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring," in IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, March 2010, pp. 4574-4577.
5. B. E. D. Kingsbury, N. Morgan, and, S. Greenberg, "Robust speech recognition using the modulation spectrogram," Speech Communication, vol. 25, no. 1-3, pp. 117-132, Aug. 1998.
6. D. Ellis. (2006) PLP and RASTA (and MFCC, and inversion) in MATLAB using melfcc.m and invmelfcc.m. [Online]. Available: http://labrosa.ee.columbia.edu/ matlab/rastamat/
7. P. J. Moreno, B. Raj, and R. M. Stern, "A vector Taylor series approach for environment-independent speech recognition," in IEEE Int. Conf. Acoust., Speech and Signal Processing, May. 1996, pp. 733-736.
8. Speech Processing, Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Advanced Front-end Feature Extraction Algorithm; Compression Algorithms, European Telecommunications Standards Institute ES 202 050, Rev. 1.1.5, Jan. 2007.
9. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE. Trans. Speech Audio Process., vol. 2, no. 4, pp. 578-589, Oct. 1994.
10. C. Kim and R. M. Stern, "Nonlinear enhancement of onset for robust speech recognition," in INTERSPEECH-2010, Sept. 2010, pp. 2058-2061.