PLP2 Autoregressive modeling of auditory-like 2-D spectro-temporal patterns

ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, SAPA 2004

Volumn , Issue , 2004, Pages

  Athineos, Marios ^a   Hermansky, Hynek ^b   Ellis, Daniel P W ^a  

^a Columbia University ^*  (United States)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

POLES;

ALL-POLE MODELING; AUTOREGRESSIVE MODELLING; CRITICAL BANDS; FREQUENCY DOMAINS; LINEAR PREDICTION; PERCEPTUAL LINEAR PREDICTIONS; SPECTRAL ENERGY; TEMPORAL PATTERN; TEMPORAL TRAJECTORIES; TIME DOMAIN;

FREQUENCY DOMAIN ANALYSIS;

EID: 27144453376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. S. Shamma, H. Versnel, and N. Kowalski, “Ripple analysis in ferret primary auditory cortex: I. response characteristics of single units to sinusoidally rippled spectra,” Aud. Neurosci., vol. 1, 1995.
2. D. Klein, D. Depireux, J. Simon, and S. Shamma, “Robust spectro-temporal reverse correlation for the auditory system: Optimizing stimulus design,” J. Comput. Neurosci, vol. 9, 2000.
3. H. Hermansky, “Exploring temporal domain for robustness in speech recognition,” in Proc. of 15th International Congress on Acoustics, vol. II, Trondheim, Norway, June 1995.
4. H. Hermansky, “Should recognizers have ears?” Speech Communication, vol. 25, 1998.
5. H. Hermansky and S. Sharma, “TRAPS - classifiers of temporal patterns,” in Proc. ICSLP, Sydney, Australia, 1998.
6. P. Jain and H. Hermansky, “Beyond a single critical-band in TRAP based ASR,” in Proc. Eurospeech, Geneva, Switzerland, Nov 2003.
7. S. Makino, T. Kawabata, and K. Kido, “Recognition of consonant based on the perceptron model,” in Proc. ICASSP, Boston, MA, 1983.
8. P. Brown, “The acoustic-modeling problem in automatic speech recognition,” Ph.D. dissertation, Computer Science Department, Carnegie Mellon University, 1987.
9. H. Hermansky, D. Ellis, and S. Sharma, “Connectionist feature extraction for conventional hmm systems,” in Proc. ICASSP, Istanbul, Turkey, 2000.
10. M. Fanty and R. Cole, “Spoken letter recognition,” in Advances in Neural Information Processing Systems 3. Morgan Kaufmann Publishers, Inc., 1990.
11. S. Sharma, D. Ellis, S. Kajarekar, P. Jain, and H. Hermansky, “Feature extraction using non-linear transformation for robust speech recognition on the AURORA data-base,” in Proc. ICASSP, Istanbul, Turkey, 2000.
12. P. Schwartz, P. Matejka, and J. Cernocky, “Recognition of phoneme strings using TRAP technique,” in Proc. Eurospeech, Geneva, Switzerland, September 2003.
13. D. Klein, 2003, personal communication.
14. M. Athineos and D. Ellis, “Sound texture modelling with linear prediction in both time and frequency domains,” in Proc. ICASSP, vol. 5, 2003, pp. 648-651.
15. M. Athineos and D. Ellis,“Frequency-domain linear prediction for temporal features,” in Proc. IEEE ASRU Workshop, S. Thomas, US Virgin Islands, Dec 2003.
16. H. Hermansky, H. Fujisaki, and Y. Sato, “Analysis and synthesis of speech based on spectral transform linear predictive method,” in Proc. ICASSP, vol. 8, Apr 1983, pp. 777-780.
17. R. Koenig, H. Dunn, and L. Lacey, “The sound spectrograph,” J. Acoust. Soc. Am., vol. 18, pp. 19-49, 1946.
18. H. Hermansky, “Perceptual linear predictive (PLP) analysis of speech,” J. Acoust. Soc. Am., vol. 87:4, April 1990.