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Rules for Automatic Grapheme-to-Allophone Transcription in Slovene

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Text, Speech and Dialogue (TSD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1692))

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Abstract

An extensive rule set for grapheme-to-allophone conversion of Slovene texts has been defined and evaluated. Another rule set has been developed for pronunciation of names. The efficiency of both S5 rule sets was compared to the one of the Onomastica rule set on two manually transcribed test data sets.

A performance test applied on the S5 pronunciation dictionary showed error rates of about 30% in the stress assignment and consequently in the phonetic transcription. In case stress assignment and the transcriptions of graphemic /e/ and /o/ in stressed syllables had been marked in advance a transcription success rate of nearly 100% was achieved both on names and on standard words with the S5 names rule sets and the S5 standard words rule set, respectively.

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References

  1. Gros, J.: Samodejno pretvarjanje besedil v govor. PhD Thesis. University of Ljubljana (1997).

    Google Scholar 

  2. Lindstrom, A., Ljungquvist, M., Gustafson, K.: A modular architecture supporting multiple hypotheses for conversion of text to phonetic and linguistic entities. Proceedings of the EUROSPEECH93. Berlin (1993) 1463–1466.

    Google Scholar 

  3. Toporišić, J.: Slovenska Slovenica (Slovene Grammar). Založba Obzorja Maribor (1991) (in Slovene).

    Google Scholar 

  4. Gros, J., Pavešić, N., Mihelić, F.: A text-to-speech system for the Slovenian language. Proceedings of the EUSIPCO’96, Trieste (1996) 1043–1046.

    Google Scholar 

  5. Hribar, J.: Sinteza umetnega govora iz teksta. MSc Thesis. University of Ljubljana (1984).

    Google Scholar 

  6. Weilguny, S.: Grafemsko-fonsmeki modul za sintezo izoliranih besed slovenskega jezika. MSc Thesis. University of Ljubljana (1993).

    Google Scholar 

  7. Belhoula, K., Kraft, V., Rinscheid, A., Ruehl, H.W.: Extension of a TTS system to rule-based pronunciation of names. Proceedings of the CRIM/FORWISSWorkshop on Progress and Prospects of Speech Research and Technology. Munich (1994) 249–251.

    Google Scholar 

  8. ONOMASTICA-Copernicus Database. CD-ROM. EU Project COP-58. Distributed by the European Language Resources Association. ELRA (1997).

    Google Scholar 

  9. Kačič, Z.: Definiranje leksikona izgovarjav lastnih imen za slovenski jezik. Proceedings of the ERK’98 Conference. Portorož Slovenia (1998) 185–188.

    Google Scholar 

  10. Dedina, M.J., Nusbaum, H.C.: Pronounce: a program for pronunciation by analogy. Computer Speech and Language 5 (1991) 55–64.

    Article  Google Scholar 

  11. Mannell R., Clark, J.E.: Text-to-speech rule and dictionary development. Speech Communication 6 (1987) 317–324.

    Article  Google Scholar 

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© 1999 Springer-Verlag Berlin Heidelberg

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Gros, J., Mihelić, F., Pavešić, N. (1999). Rules for Automatic Grapheme-to-Allophone Transcription in Slovene. In: Matousek, V., Mautner, P., Ocelíková, J., Sojka, P. (eds) Text, Speech and Dialogue. TSD 1999. Lecture Notes in Computer Science(), vol 1692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48239-3_44

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  • DOI: https://doi.org/10.1007/3-540-48239-3_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66494-9

  • Online ISBN: 978-3-540-48239-0

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