Localized spectro-temporal features for automatic speech recognition

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 2573-2576

  Kleinschmidt, Michael ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; FEATURE EXTRACTION; MODULATION; SPEECH COMMUNICATION;

AUDITORY PERCEPTION; AUTOMATIC SPEECH RECOGNITION; GABOR FEATURE; NEW APPROACHES; SPECTRO-TEMPORAL MODULATIONS; STATISTICAL PROPERTIES; TEMPORAL FEATURES; TIME FREQUENCY;

SPEECH RECOGNITION;

EID: 85009227802     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. H. Hermansky, "Should recognizers have ears?," Speech Communication, vol. 25, pp. 3-24, 1998.
2. R.P. Lippmann, "Speech recognition by machines and humans," Speech Communication, vol. 22, pp. 1-15, 1997.
3. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE Trans. SAP, vol. 2, no. 4, pp. 578-589, 1994.
4. H. Hermansky and S. Sharma, "TRAPS-Classifiers of temporal patterns," in ICSLP, 1998, vol. 3, pp. 1003-1006.
5. C.E. Schreiner and B.M. Calhoun, "Spectral envelope coding in cat primary auditory cortex: properties of ripple transfer functions.," Auditory Neuroscience, vol. 1, pp. 39-61, 1994.
6. D.A. Depireux, J.Z. Simon, D.J. Klein, and S.A. Shamma, "Spectro-temporal response field characterization with dynamic ripples in ferret primary auditory cortex," J. Neurophysiol., vol. 85, pp. 1220-1234, 2001.
7. L.M. Miller, M.A. Escabi, H.L. Read, and C.E. Schreiner, "Spectrotemporal receptive fields in the lemniscal auditory cortex," J. Neurophysiol., vol. 87, pp. 516-527, 2002.
8. R. De-Valois and K. De-Valois, Spatial Vison, Oxford U.P., New York, 1990.
9. C. Kaernbach, "Early auditory feature coding," in Contributions to psychological acoustics: Results of the 8th Oldenburg Symposium on Psychological Acoustics. 2000, pp. 295-307, BIS, Universit ät Oldenburg.
10. T. Dau, B. Kollmeier, and A. Kohlrausch, "Modeling auditory processing of amplitude modulation: II. Spectral and temporal integration," JASA, vol. 102, pp. 2906-2919, 1997.
11. T. Chi, Y. Gao, M. C. Guyton, P. Ru, and S. Shamma, "Spectrotemporal modulation transfer functions and speech intelligibility," JASA, vol. 106, no. 5, pp. 2719-2732, 1999.
12. H. Fletcher, Speech and Hearing in Communication., Krieger, 1953, (There is a 1994 reprint ASA Edition.).
13. S. Greenberg, T. Arai, and R. Silipo, "Speech intelligibility derived from exceedingly sparse spectral information," in ICSLP, 1998.
14. S. Greenberg and T. Arai, "The relation between speech intelligibility and the complex modulation spectrum," in Eurospeech, 2001.
15. B. Kingsbury, N. Morgan, and S. Greenberg, "Robust speech recognition using the modulation spectrogram," Speech Communication, vol. 25, no. 1, pp. 117-132, 1998.
16. J. Tchorz and B. Kollmeier, "A model of auditory perception as front end for automatic speech recognition," J. Acoust. Soc. Am., vol. 106, no. 4, pp. 2040-2050, 1999.
17. N. Kanedera, T. Arai, H. Hermansky, and M. Pavel, "On the relative importance of various components of the modulation spectrum for automatic speech recognition," Speech Communication, vol. 28, pp. 43-55, 1999.
18. C. Nadeu, D. Macho, and J. Hernando, "Time and frequency filtering of filter-bank energies for robust HMM speech recognition," Speech Communication, vol. 1-2, pp. 93-114, 2001.
19. P. Somervuo, "Experiments with linear and nonlinear feature transformations in HMM-based phone recognition," in ICASSP, 2003.
20. P. Jain and H. Hermansky, "Beyond a single critical band in TRAP-based ASR," in Eurospeech, 2003, submitted.
21. H. Bourlard and N. Morgan, "Hybrid HMM/ANN systems for speech recognition: Overview and new research directions," in Adaptive Processing of Sequences and Data Structures, vol. 1387 of Lect. Notes in AI, pp. 389-417. Giles, C.L. and Gori, M., 1998.
22. H. Hermansky, D.P.W. Ellis, and S. Sharma, "Tandem connectionist feature extraction for conventionalHMMsystems," in ICASSP, 2000.
23. T. Gramß and H.W. Strube, "Recognition of isolated words based on psychoacoustics and neurobiology," Speech Communication, vol. 9, pp. 35-40, 1990.
24. M. Kleinschmidt, "Methods for capturing spectro-temporal modulations in automatic speech recognition," Acustica united with acta acustica, vol. 88, pp. 416-422, 2002.
25. K.P. Körding, P. König, and D.J. Klein, "Learning of sparse auditory receptive fields," in Proc. IJCNN, 2001.
26. M. Kleinschmidt and D. Gelbart, "Improving word accuracy with Gabor feature extraction," in ICSLP, 2002.
27. T. Gramß, "Fast algorithms to find invariant features for a word recognizing neural net," in IEEE 2nd International Conference on Artificial Neural Networks, Bournemouth, 1991, pp. 180-184.