Speaker identification in the shouted environment using Suprasegmental Hidden Markov Models

Signal Processing

Volumn 88, Issue 11, 2008, Pages 2700-2708

  Shahin, Ismail ^a  

^a UNIVERSITY OF SHARJAH   (United Arab Emirates)

Author keywords

Hidden Markov Models; Second Order Circular Hidden Markov Models; Shouted environment; Speaker identification; Suprasegmental Hidden Markov Models

Indexed keywords

COMPUTATIONAL GRAMMARS; DATABASE SYSTEMS; HIDDEN MARKOV MODELS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; LOUDSPEAKERS; MARKOV PROCESSES; OBJECT RECOGNITION; SPEECH;

(ABIOTIC AND BIOTIC) STRESS; ELSEVIER (CO); MARKOV MODELLING; RECOGNITION PERFORMANCE; SECOND ORDERS; SPEAKER IDENTIFICATION (SID); SPEAKER IDENTIFICATION PERFORMANCE; SPEECH DATABASES;

SPEECH RECOGNITION;

EID: 47749098868     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.05.012     Document Type: Article

References (19)

1. Furui S. Speaker-dependent-feature-extraction, recognition, and processing techniques. Speech Commun. 10 (March 1991) 505-520
2. Cummings K.E., and Clements M.A. Analysis of the glottal excitation of emotionally styled and stressed speech. J. Acoust. Soc. Am. 98 1 (July 1995) 88-98
3. Bou-Ghazale S.E., and Hansen J.H.L. A comparative study of traditional and newly proposed features for recognition of speech under stress. IEEE Trans. Speech Audio Process. 8 4 (July 2000) 429-442
4. Zhou G., Hansen J.H.L., and Kaiser J.F. Nonlinear feature based classification of speech under stress. IEEE Trans. Speech Audio Process. 9 3 (March 2001) 201-216
5. Chen Y. Cepstral domain talker stress compensation for robust speech recognition. IEEE Trans. ASSP 36 4 (April 1988) 433-439
6. Hansen J.H.L. Analysis and compensation of speech under stress and noise for environmental robustness in speech recognition. Speech Commun. 20 2 (November 1996) 151-170 (Special Issue on Speech Under Stress)
7. Shahin I. Improving speaker identification performance under the shouted talking condition using the second-order hidden Markov models. EURASIP J. Appl. Signal Process. 5 4 (March 2005) 482-486
8. Shahin I. Enhancing speaker identification performance under the shouted talking condition using second-order circular hidden Markov models. Speech Commun. 48 8 (August 2006) 1047-1055
9. Huang X.D., Ariki Y., and Jack M.A. Hidden Markov Models for Speech Recognition (1990), Edinburgh University Press, UK
10. Rabiner L.R., and Juang B.H. Fundamentals of Speech Recognition (1993), Prentice-Hall, Englewood Cliffs, NJ
11. Nwe T.L., Foo S.W., and De Silva L.C. Speech emotion recognition using hidden Markov models. Speech Commun. 41 4 (November 2003) 603-623
12. Ververidis D., and Kotropoulos C. Emotional speech recognition: resources, features, and methods. Speech Commun. 48 9 (September 2006) 1162-1181
13. Bosch L.T. Emotions, speech and the ASR framework. Speech Commun. 40 1/2 (April 2003) 213-225
14. Mari J.F., Haton J.P., and Kriouile A. Automatic word recognition based on second-order hidden Markov models. IEEE Trans. Speech Audio Process. 5 1 (January 1997) 22-25
15. Zheng C., and Yuan B.Z. Text-dependent speaker identification using circular hidden Markov models. Proc. IEEE Int. Conf. Acoust. Speech Signal Process. S13.3 (1988) 580-582
16. I. Shahin, Enhancing speaker identification performance using circular hidden Markov model, in: 1st International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA'04, IEEE Section France), Damascus, Syria, April 2004.
17. J. Adell, A. Benafonte, D. Escudero, Analysis of prosodic features: towards modeling of emotional and pragmatic attributes of speech, in: XXI Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural, SEPLN, Granada, Spain, September 2005.
18. T.S. Polzin, A.H. Waibel, Detecting emotions in Speech, Cooperative Multimodal Communication, Second International Conference 1998, CMC 1998.
19. Yegnanarayana B., Prasanna S.R.M., Zachariah J.M., and Gupta C.S. Combining evidence from source, suprasegmental and spectral features for a fixed-text speaker verification system. IEEE Trans. Speech Audio Process. 13 4 (July 2005) 575-582