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A Unified Parser for Developing Indian Language Text to Speech Synthesizers

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Text, Speech, and Dialogue (TSD 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9924))

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Abstract

This paper describes the design of a language independent parser for text-to-speech synthesis in Indian languages. Indian languages come from 5–6 different language families of the world. Most Indian languages have their own scripts. This makes parsing for text to speech systems for Indian languages a difficult task. In spite of the number of different families which leads to divergence, there is a convergence owing to borrowings across language families. Most importantly Indian languages are more or less phonetic and can be considered to consist broadly of about 35–38 consonants and 15–18 vowels. In this paper, an attempt is made to unify the languages based on this broad list of phones. A common label set is defined to represent the various phones in Indian languages. A uniform parser is designed across all the languages capitalising on the syllable structure of Indian languages. The proposed parser converts UTF-8 text to common label set, applies letter-to-sound rules and generates the corresponding phoneme sequences. The parser is tested against the custom-built parsers for multiple Indian languages. The TTS results show that the accuracy of the phoneme sequences generated by the proposed parser is more accurate than that of language specific parsers.

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References

  1. Copestake, A., Flickinger, D.: An open source grammar development environment and broad-coverage English grammar using HPSG. In: Proceedings of LREC 2000, pp. 591–600 (2000)

    Google Scholar 

  2. Kishore, S., Kumar, R., Sangal, R.: A data driven synthesis approach for indian languages using syllable as basic unit. In: Proceedings of International Conference on NLP (ICON), pp. 311–316 (2002)

    Google Scholar 

  3. Lavanya, P., Kishore, P., Madhavi, G.T.: A simple approach for building transliteration editors for Indian languages. J. Zhejiang Univ. Sci. A 6(11), 1354–1361 (2005)

    Google Scholar 

  4. Levine, J.R., Mason, T., Brown, D.: LEX & YACC. O’Reilly Media Inc., Sebastopol (1992)

    Google Scholar 

  5. Prakash, A., Reddy, M.R., Nagarajan, T., Murthy, H.A.: An approach to building language-independent text-to-speech synthesis for Indian languages. In: 2014 Twentieth National Conference on Communications (NCC), pp. 1–5. IEEE (2014)

    Google Scholar 

  6. Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)

    Google Scholar 

  7. Raghavendra, E.V., Desai, S., Yegnanarayana, B., Black, A.W., Prahallad, K.: Global syllable set for building speech synthesis in Indian languages. In: SLT 2008, pp. 49–52. IEEE (2008)

    Google Scholar 

  8. Raghavendra, E.V., Yegnanarayana, B., Black, A.W., Prahallad, K.: Building sleek synthesizers for multi-lingual screen reader. In: INTERSPEECH, pp. 1865–1868 (2008)

    Google Scholar 

  9. Raina, A.M., Mukerjee, A., Goyal, P., Shukla, P.: A unified computational lexicon for hindi-english code-switching. In: Proceedings International Conference on Natural Language Processing (ICON), Hyderabad, India, December 2004, pp. 19–22 (2004)

    Google Scholar 

  10. Ramani, B., Christina, S.L., Rachel, G.A., Solomi, V.S., Nandwana, M.K., Prakash, A., Shanmugam, S.A., Krishnan, R., Kishore, S., Samudravijaya, K., et al.: A common attribute based unified hts framework for speech synthesis in Indian languages. In: 8th ISCA Workshop on Speech Synthesis, pp. 311–316 (2013)

    Google Scholar 

  11. Singh, A.K.: A computational phonetic model for Indian language scripts. In: Constraints on Spelling Changes: Fifth International Workshop on Writing Systems (2006)

    Google Scholar 

  12. Tokuda, K., Yoshimura, T., Masuko, T., Kobayashi, T., Kitamura, T.: Speech parameter generation algorithms for HMM-based speech synthesis. In: Proceedings of the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000, ICASSP 2000, vol. 3, pp. 1315–1318. IEEE (2000)

    Google Scholar 

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Correspondence to Arun Baby .

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Baby, A., N.L., N., Thomas, A.L., Murthy, H.A. (2016). A Unified Parser for Developing Indian Language Text to Speech Synthesizers. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2016. Lecture Notes in Computer Science(), vol 9924. Springer, Cham. https://doi.org/10.1007/978-3-319-45510-5_59

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  • DOI: https://doi.org/10.1007/978-3-319-45510-5_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45509-9

  • Online ISBN: 978-3-319-45510-5

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