A Novel Training Approach For Improving Speech Recognition Under Adverse Stressful Conditions

5th European Conference on Speech Communication and Technology, EUROSPEECH 1997

Volumn , Issue , 1997, Pages 2387-2390

  Bou Ghazale, Sahar E ^a   Hansen, John H L ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMOTION RECOGNITION; SPEECH COMMUNICATION; SPEECH RECOGNITION;

ANALYSIS/SYNTHESIS; CONDITION; EMOTIONAL STRESS; ENVIRONMENTAL STRESS; LOMBARD EFFECTS; PARAMETERS VARIATIONS; PERTURBATION MODEL; SPEECH RECOGNIZER; STRESS CONDITION; STRESS PERTURBATIONS;

SPEECH SYNTHESIS;

EID: 0037906020     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. S. E. Bou-Ghazale. Analysis, Modeling, and Perturbation of Speech Under Stress With Applications to Speech Synthesis and Recognition. PhD thesis, Duke University, Durham, N.C., Nov. 1996.
2. S. E. Bou-Ghazale and J. H. L. Hansen. Duration and spectral based stress token generation for HMM speech recognition under stress. In Proc. IEEE-ICASSP, pp. 413-416, Adelaide, South Australia, Apr. 1994.
3. S. E. Bou-Ghazale and J. H. L. Hansen. HMM-based stressed speech modeling with application to improved synthesis and recognition of isolated speech under stress. IEEE Trans. on Speech and Audio, Dec. 1996. In Review.
4. S. E. Bou-Ghazale and J. H. L. Hansen. Synthesis of stressed speech from isolated neutral speech using HMM-based models. In ICSLP, pp. 1860-1863, Philadelphia, Pennsylvania, Oct. 1996.
5. S. E. Bou-Ghazale and J.H.L. Hansen. Generating stressed speech from neutral speech using a modified CELP vocoder. Speech Communication, 20:93-110, Nov. 1996. Special Issue: "Speech under Stress".
6. Y. Chen. Cepstral domain stress compensation for robust speech recognition. In Proc. IEEE-ICASSP, pp. 717-720, Dallas, Texas, Apr. 1987.
7. J. H. L. Hansen. Morphological constrained enhancement with adaptive cepstral compensation (MCE-ACE) for speech recognition in noise and Lombard effect. IEEE Trans. on Speech and Audio, 2:598-614, Oct. 1994.
8. J. H. L. Hansen and S. E. Bou-Ghazale. Getting started with SUSAS: A speech under simulated and actual stress database. In EUROSPEECH, Rhodes, Greece, Sept. 1997.
9. J. H. L. Hansen and O. N. Bria. Lombard effect compensation for robust automatic speech recognition in noise. In ICSLP, pp. 1125-1128, Kobe, Japan, Nov. 1990.
10. J. H. L. Hansen and M. A. Clements. Stress compensation and noise reduction algorithms for robust speech recognition. In Proc. IEEE Inter. Conf. on Acoustics, Speech, and Signal Processing, pp. 266-269, Glasgow, Scotland, May 1989.
11. R. P. Lippmann, E. A. Martin, and D. B. Paul. Multi-style training for robust isolated-word speech recognition. In Proc. IEEE-ICASSP, pp. 705-708, Dallas, Texas, Apr. 1987.
12. B. D. Womack and J. H. L. Hansen. Classification of speech under stress using target driven features. Speech Communication, 20:131-50, Nov. 1996. Special Issue: "Speech under Stress".