Evaluating Automatic Syllabification Algorithms for English

6th ISCA Workshop on Speech Synthesis, SSW 2007

Volumn , Issue , 2007, Pages 316-321

  Marchand, Yannick ^a,b   Adsett, Connie R ^a,b   Damper, Robert I ^a,c  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b DALHOUSIE UNIVERSITY   (Canada)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION;

AUTOMATIC SPEECH RECOGNITION; BROADER APPROACH; DATA DRIVEN; DATA DRIVEN TECHNIQUE; GOLD STANDARDS; PERFORMANCE; RULE BASED; RULE-BASED METHOD; SYLLABIFICATION ALGORITHMS; WORD MODELING;

QUALITY CONTROL;

EID: 85034632084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. E. Pulgram, Syllable, Word, Nexus, Cursus. The Hague, The Netherlands: Mouton, 1970.
2. E. Selkirk, “The syllable,” in The Structure of Phonological Representations, H. van der Hulst and N. Smith, Eds. Dordrecht, The Netherlands: Foris, 1982, vol. 2, pp. 337–383.
3. K. J. Kohler, “Is the syllable a phonological universal?” Journal of Linguistics, vol. 2, pp. 207–208, 1966.
4. D. Crystal, A First Dictionary of Linguistics and Phonetics. London: André Deutsch, 1980.
5. R. Treiman and A. Zukowski, “Toward an understanding of English syllabification,” Journal of Memory and Language, vol. 29, no. 1, pp. 66–85, 1990.
6. J. Goslin and U. H. Frauenfelder, “A comparison of theoretical and human syllabification,” Language and Speech, vol. 44, no. 4, pp. 409–436, 2000.
7. K. Müller, B. Möbius, and D. Prescher, “Inducing probabilistic syllable classes using multivariate clustering,” in Proceedings of 38th Annual Meeting of the Association for Computational Linguistics, Hong Kong, China, 2000, pp. 225–232.
8. D. Kahn, Syllable-Based Generalizations in English Phonology. Bloomington, IN: Indiana University Linguistics Club, 1976.
9. G. N. Clements, “The role of the sonority cycle in core syllabification,” 1988, working Papers of the Cornell Phonetics Laboratory, WPCPL No. 2, Research in Laboratory Phonology, Cornell University, Ithaca, NY.
10. T. J. Sejnowski and C. R. Rosenberg, “Parallel networks that learn to pronounce English text,” Complex Systems, vol. 1, no. 1, pp. 145–168, 1987.
11. R. I. Damper, Y. Marchand, J.-D. S. Marsters, and A. I. Bazin, “Aligning text and phonemes for speech technology applications using an EM-like algorithm,” International Journal of Speech Technology, vol. 8, no. 2, pp. 149–162, 2005.
12. R. I. Damper and J. F. G. Eastmond, “Pronunciation by analogy: Impact of implementational choices on performance,” Language and Speech, vol. 40, no. 1, pp. 1–23, 1997.
13. Y. Marchand and R. I. Damper, “A multistrategy approach to improving pronunciation by analogy,” Computational Linguistics, vol. 26, no. 2, pp. 195–219, 2000.
14. R. I. Damper and Y. Marchand, “Information fusion approaches to the automatic pronunciation of print by analogy,” Information Fusion, vol. 71, no. 2, pp. 207–220, 2006.
15. Y. Marchand and R. I. Damper, “Can syllabification improve pronunciation by analogy?” Natural Language Engineering, vol. 13, no. 1, pp. 1–24, 2007.
16. A. Weijters, “A simple look-up procedure superior to NETtalk?” in Proceedings of International Conference on Artificial Neural Networks (ICANN-91), vol. 2, Espoo, Finland, 1991, pp. 1645–1648.
17. W. Daelemans and A. van den Bosch, “Generalisation performance of backpropagation learning on a syllabification task,” in TWLT3: Connectionism and Natural Language Processing, M. F. J. Drossaers and A. Nijholt, Eds. Enschede, The Netherlands: Twente University, 1992, pp. 27–37.
18. W. Daelemans, A. van den Bosch, and T. Weijters, “IGTree: Using trees for compression and classification in lazy learning algorithms,” Artificial Intelligence Review, vol. 11, no. 1–5, pp. 407–423, 1997.
19. R. I. Damper, Y. Marchand, M. J. Adamson, and K. Gustafson, “Evaluating the pronunciation component of text-to-speech systems for English: A performance comparison of different approaches,” Computer Speech and Language, vol. 13, no. 2, pp. 155–176, 1999.