Phonological constraints and morphological preprocessing for grapheme-to-phoneme conversion

ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 96-103

  Demberg, Vera ^a   Schmid, Helmut ^b   Möhler, Gregor ^c  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF STUTTGART   (Germany)

^c IBM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CONVERSION ACCURACIES; CONVERSION ALGORITHM; CORE COMPONENTS; GRAPHEME-TO-PHONEME CONVERSION; MAIN STRESS; MORPHOLOGICAL INFORMATION; MORPHOLOGICAL PREPROCESSING; MORPHOLOGICAL SEGMENTATION; N-GRAM MODELS; STRESS ASSIGNMENT; TEXT-TO-SPEECH SYSTEM; TRAINING SETS;

COMPUTATIONAL LINGUISTICS;

SPEECH;

EID: 84859897171     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. M. Bisani and H. Ney. 2002. Investigations on joint multigram models for grapheme-to-phoneme conversion. In ICSLP.
2. A. Black, K. Lenzo, and V. Pagel. 1998. Issues in building general letter to sound rules. In 3. ESCA on Speech Synthesis.
3. SF Chen and J Goodman. 1996. An empirical study of smoothing techniques for language modeling. In Proc. of ACL.
4. S. F. Chen. 2003. Conditional and joint models for graphemeto-phoneme conversion. In Eurospeech.
5. V. Demberg. 2006. Letter-to-phoneme conversion for a German TTS-System. Master's thesis. IMS, Univ. of Stuttgart.
6. V. Demberg. 2007. A language-independent unsupervised model for morphological segmentation. In Proc. of ACL-07.
7. L. Galescu and J. Allen. 2001. Bi-directional conversion between graphemes and phonemes using a joint n-gram model. In Proc. of the 4th ISCA Workshop on Speech Synthesis.
8. CELEX German Linguistic User Guide, 1995. Center for Lexical Information. Max-Planck-Institut for Psycholinguistics,Nijmegen.
9. M. Jessen, 1998. Word Prosodic Systems in the Languages of Europe. Mouton de Gruyter: Berlin.
10. S. Keshava and E. Pitler. 2006. A simpler, intuitive approach to morpheme induction. In Proceedings of 2nd Pascal Challenges Workshop, pages 31-35, Venice, Italy.
11. A. K. Kienappel and R. Kneser. 2001. Designing very compact decision trees for grapheme-to-phoneme transcription. In Eurospeech, Scandinavia.
12. M. Kurimo, M. Creutz, M. Varjokallio, E. Arisoy, and M. Saraclar. 2006. Unsupervsied segmentation of words into morphemes - Challenge 2005: An introduction and evaluation report. In Proc. of 2nd Pascal Challenges Workshop, Italy.
13. J. Lucassen and R. Mercer. 1984. An information theoretic approach to the automatic determination of phonemic baseforms. In ICASSP 9.
14. Y. Marchand and R. I. Damper. 2005. Can syllabification improve pronunciation by analogy of English? Natural Language Engineering.
15. W. Minker. 1996. Grapheme-to-phoneme conversion-an approach based on hidden markov models.
16. B. Möbius. 2001. German and Multilingual Speech Synthesis. phonetic AIMS, Arbeitspapiere des Instituts für Maschinelle Spachverarbeitung.
17. K. Müller. 2001. Automatic detection of syllable boundaries combining the advantages of treebank and bracketed corpora training. In Proceedings of ACL, pages 402-409.
18. A. Pounder and M. Kommenda. 1986. Morphological analysis for a German text-to-speech system. In COLING 1986.
19. P.A. Rentzepopoulos and G.K. Kokkinakis. 1991. Phoneme to grapheme conversion using HMM. In Eurospeech.
20. H. Schmid, A. Fitschen, and U. Heid. 2004. SMOR: A German computational morphology covering derivation, composition and inflection. In Proc. of LREC.
21. H. Schmid, B. Möbius, and J. Weidenkaff. 2005. Tagging syllable boundaries with hidden Markov models. IMS, unpub.
22. R. Sproat. 1996. Multilingual text analysis for text-to-speech synthesis. In Proc. ICSLP '96, Philadelphia, PA.
23. P. Taylor. 2005. Hidden Markov models for grapheme to phoneme conversion. In INTERSPEECH.