Fepstrum: An improved modulation spectrum for ASR

International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007

Volumn 2, Issue , 2007, Pages 1177-1180

  Tyagi, Vivek ^a  

^a IBM RESEARCH INDIA   (India)

Author keywords

Features for speech recognition; Fepstrum; Modulation spectrum

Indexed keywords

GAUSSIAN DISTRIBUTION; MODULATION; SPECTRUM ANALYSIS; SPEECH RECOGNITION; TRELLIS CODES;

CEPSTRUM; COMPOSITE FEATURES; FEATURE FOR SPEECH RECOGNITION; FEPSTRUM; GAUSSIAN MIXTURE MODEL; HIDDEN-MARKOV MODELS; MODULATION SPECTRUM; PHONEMES RECOGNITION; SPECTRUM ESTIMATION TECHNIQUES; TEST SETS;

HIDDEN MARKOV MODELS;

EID: 56149087928     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. R. Kumaresan and A. Rao, " Model-based approach to envelope and positive instantaneous frequency estimation of signals with speech appications," J. Acoust. Soc. Am. 105(3), March 1999.
2. S. Schimmel and L. Atlas, "Coherent Envelope Detection for Modulation Filtering of Speech, " Proc. of ICASSP 2005, Philadelphia, USA.
3. V. Tyagi and C. Wellekens, "Fepstrum Representation of Speech Signal," In the Proc. of IEEE ASRU 2005, Cancun, Mexico.
4. V. Tyagi and C. Wellekens, "Fepstrum and carrier signal decomposition of speech signals through homomorphic filtering," In the Proc. of IEEE ICASSP, Toulouse, France, 2006.
5. A. K. Halberstadt and J. R. Glass, " Heterogeneous measurements and multiple classifiers for speech recognition," Proc. of ICSLP, 1998.
6. J. R. Glass, "A probabilistic framework for segment based speech recognition," Computer Speech and Language 17(2003) pp 137-152.
7. J. Ming, and F. Smith, "Improved phone recognition using Bayesian triphone models," In the Proc. of IEEE ICASSP, Seattle WA, pp. 409-412, May 1998.
8. A. Robinson, "An application of recurrent nets to phone probability estimation," In the IEEE Trans. Neural Networks, 5(2), pp. 298-305, 1994.
9. L. Lamel and J. Gauvain, "High Performance speaker independent phone recognition using CDHMM," In the Proc. of Eurospeech, 1993, pp.121-124.
10. B. S. Atal and S. L. Hanauer, "Speech analysis and synthesis by linear Prediction of the speech wave," J. Acoust. Soc. of America, Vol. 50, pp.637-655, Aug. 1971.
11. V. Tyagi, I McCowan, H. Bourlard, H. Misra, "Mel-Cepstrum Modulation Spectrum (MCMS) features for Robust ASR," In the Proc. of IEEE ASRU 2003, St. Thomas, Virgin Islands, USA.
12. H. Hermansky, "TRAP-TANDEM: Data driven extraction of the features from speech," In the Proc. of IEEE ASRU 2003, St. Thomas, Virgin Islands, USA.
13. B.E.D. Kingsbury, N. Morgan and S. Greenberg, "Robust speech recognition using the modulation spectrogram," Speech Communication, vol. 25, Nos. 1-3, August 1998.
14. Q. Zhu and A. Alwan, "AM-Demodualtion of speech spectra and its application to noise robust speech recognition," Proc. ICSLP, Vol. 1, pp. 341-344, 2000.
15. S. Haykin, "Communication Systems," 3rd ed., pages 79-95, John Wiley & Sons, New York, 1994.