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Reseach Article

Development of Concatenative Syllable based Text to Speech Synthesis System for Tamil

by B. Sudhakar, R. Bensraj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 5
Year of Publication: 2014
Authors: B. Sudhakar, R. Bensraj
10.5120/15878-4839

B. Sudhakar, R. Bensraj . Development of Concatenative Syllable based Text to Speech Synthesis System for Tamil. International Journal of Computer Applications. 91, 5 ( April 2014), 22-25. DOI=10.5120/15878-4839

@article{ 10.5120/15878-4839,
author = { B. Sudhakar, R. Bensraj },
title = { Development of Concatenative Syllable based Text to Speech Synthesis System for Tamil },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 5 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number5/15878-4839/ },
doi = { 10.5120/15878-4839 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:59.445254+05:30
%A B. Sudhakar
%A R. Bensraj
%T Development of Concatenative Syllable based Text to Speech Synthesis System for Tamil
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 5
%P 22-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper addresses the problem of improving the intelligibility of the synthesized speech in Tamil TTS synthesis system. The human speech is artificially generated by Speech synthesis. The normal language text will be automatically converted into speech using Text-to-speech (TTS) system. This paper deals with a corpus-driven Tamil TTS system based on the concatenative synthesis approach. Concatenative speech synthesis involves the concatenation of the basic units to synthesize an intelligent, natural sounding speech. In this paper syllables are the basic unit of speech synthesis database and the modification of syllable pitch by time scale modification. The speech units are annotated with associated prosodic information about each unit, manually or automatically, based on an algorithm. An annotated speech corpus utilizes the clustering technique that provides way to select the suitable unit for concatenation, depends on the minimum total join cost of the speech unit. The entered text file is analyzed first, this syllabication is performed based on the linguistics rules and the syllables are stored separately. Then the syllable corresponding speech file is concatenated and the silence present in the concatenated speech is removed. After that discontinuities are minimized at syllable boundaries without degrading the quality. Smoothing at the concatenated syllable boundary is performed and changing the syllable pitches by time scale modification.

References
  1. Marian Macchi, Bellcore. 1998. Issues in text-to-speech synthesis, In Proc. IEEE International Joint Symposia on Intelligence and Systems, pp. 318-325.
  2. N. P. Narendra, K. Sreenivasa Rao ,Krishnendu Ghosh, Ramu Reddy Vempada, Sudhamay Maity. 2011. Development of syllable-based text to speech synthesis system in Bengali, International journal of speech technology, pp. 176-181.
  3. C. Pornpanomchai, N. Soontharanont, C. Langla, N. Wongsawat. 2011. A dictionary-based approach for Thai text to speech (TTTS), In Proc. Third Int. Conferenceon Measuring Technology and Mechatronics Automation, vol. 1, pp. 40-43.
  4. M. N. Rao, S. Thomas, T. Nagarajan, and H. A. Murthy. 2005. Text-to-speech synthesis using syllable like units, In National Conference on Communication, IIT Kharagpur, pp. 227–280.
  5. D. H. Klatt. 1987. Review of text-to-speech conversion for English, The Journal of the Acoustical Society of America, pp. 737–793.
  6. M. Sreekanth, and A. G. Ramakrishnan. 2007. Festival based maiden tts system for Tamil Language, In Proc. 3rd Language and Technology Conference, Poznan, Poland, October, pp. 187–191.
  7. S. P. Kishore and A. W. Black. 2003. Unit size in unit selection speech synthesis. In Proc. Eurospeech.
  8. N. S. Krishna, P. P. Talukdar, K. Bali, A. G. Ramakrishnan. 2004. Duration modeling for Hindi text-to-speech synthesis system, In Proc. of Intenational Conference on Spoken Language Processing (ICSLP'04), Korea.
  9. A. Hunt, and A. Black. 1997. Unit selection in a concatenative speech synthesis system using a large speech database, In Proc. of IEEE Int. Conference Acoustic, Speech, and Signal processing, vol. 1, pp. 373–376.
  10. Robert J. Utama, Ann K. Syrdal, and Alistair Conkie. 2006. Six approaches to limited domain concatenative speech synthesis, INTER SPEECH, ICSLP.
  11. S. D. Shirbahadurkar, D. S. Bormane, R. L. Kazi. 2010. Subjective and spectrogram analysis of speech synthesizer for Marathi tts using concatenative synthesis, Recent Trends in Information, Telecommunication and Computing (ITC).
  12. S Saraswathi , T V Geetha. 2010. Design of language models at various phases of Tamil speech recognition system, International Journal of Engineering, Science and Technology, Vol. 2, No. 5, pp. 244-257.
  13. K. P. Mohanan, T. Mohanan. 1987. Lexical phonology of the consonant system in Malayalam, Linguistic Inquiry, The MIT Press, volume 15.
  14. K. Panchapagesan, P. P Talukdar, N. S. Krishna, K. Bali and A. G. Ramakrishnan. 2004. Hindi text normalization, Fifth International Conference on Knowledge Based Computer Systems (KBCS), Hyderabad, India.
  15. T. Charoenporn, A. Chotimongkol, V. Sornlertlamvanich. 1999. Automatic romanization for Thai, In Proc. of the 2nd Int. workshop on East-Asian Language Resources and Evaluation.
Index Terms

Computer Science
Information Sciences

Keywords

Tamil TTS Concatenative Speech Synthesis Text to speech synthesis Syllable based synthesis.