Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2008, Pages 3989-3992

  Qiao, Yu ^a   Shimomura, Naoya ^a   Minematsu, Nobuaki ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Agglomerative clustering; Rate distortion theory; Unsupervised phoneme segmentation

Indexed keywords

AGGLOMERATIVE CLUSTERING; OBJECTIVE FUNCTIONS; OPTIMAL SEGMENTATION; RATE DISTORTION THEORY; UNSUPERVISED PHONEME SEGMENTATION;

ACOUSTICS; BOOLEAN FUNCTIONS; CLUSTERING ALGORITHMS; ELECTRIC DISTORTION; ERROR ANALYSIS; ERROR STATISTICS; IMAGE CODING; INFORMATION THEORY; SIGNAL DISTORTION; SIGNAL PROCESSING; SPEECH;

SPEECH RECOGNITION;

EID: 51449096712     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518528     Document Type: Conference Paper

References (16)

1. G. Aversano, A. Esposito, and M. Marinaro, "A new text-independent method for phoneme segmentation," IEEE Midwest Symposium on Circuits and Systems, pp. 516-519, 2001.
2. S. Dusan and L. Rabiner, "On the Relation between Maximum Spectral Transition Positions and Phone Boundaries," INTER-SPEECH, pp. 17-21, 2006.
3. Y. P. Estevan, V. Wan, and O. Scharenborg, "Finding Maximum Margin Segments in Speech," ICASSP, pp. 937-940, 2007.
4. S. Furui, Digital Speech Processing, Synthesis and Recognition, Marcel Dekker, 2001.
5. F. Brugnara and et. al, "Automatic segmentation and labeling of speech based on Hidden Markov Models," Speech Communication, vol. 12, no. 4, pp. 357-370, 1993.
6. T. Svendsen and F. Soong, "On the automatic segmentation of speech signals," ICASSP, pp. 77-80, 1987.
7. O. Scharenborg, M. Ernestus, and V. Wan, "Segmentation of speech: Child's play?," Interspeech, pp. 1953-1957, 2007.
8. Y. Qiao, "On Unsupervised Optimal Phoneme Segmentation," Technical Report, The Univ. of Tokyo, 2007.
9. T.M. Cover and J.A. Thomas, Elements of Information Theory, Wiley-Interscience New York, 2006.
10. J. Rissanen, "A Universal Prior for Integers and Estimation by Minimum Description Length," The Annals of Statistics, vol. 11, no. 2, pp. 416-431, 1983.
11. A.K. Jain and R.C. Dubes, Algorithms for clustering data, Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 1988.
12. J.V. Tobias, Foundations of modern auditory theory, Academic Press, 1970.
13. A. Ortego and K. Ramchandran, "Rate-distortion methods for image and video compression," IEEE Signal Processing Magazine, vol. 15, no. 6, pp. 23-50, 1998.
14. Y. Ma, H. Derksen, W. Hong, and J. Wright, "Segmentation of Multivariate Mixed Data via Lossy Coding and Compression," IEEE Trans. on PAMI, vol. 29, no. 9, pp. 1546-1562, 2007.
15. J.S. Garofolo and et. al, "Getting started with the DARPA TIMIT CD-ROM: An acoustic phonetic continuous speech database," National Institute of Standards and Technology (NIST), Gaithersburgh, MD, 1988.
16. N. Minematsu, "Mathematical Evidence of the Acoustic Universal Structure in Speech," Proc. ICASSP, pp. 889-892, 2005.