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Modelling Lexical Stress

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Text, Speech and Dialogue (TSD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3658))

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Abstract

Human listeners use lexical stress for word segmentation and disambiguation. We look into using lexical stress for speech recognition by examining a Dutch-language corpus. We propose that different spectral features are needed for different phonemes and that, besides vowels, consonants should be taken into account.

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References

  1. Ewen, C.J., van der Hulst, H.: The Phonological Structure of Words. Cambridge University Press, Cambridge (2001)

    Google Scholar 

  2. Ladd, D.R.: Intonational phonology. Cambridge Studies in Linguistics, vol. 79. Cambridge University Press, Cambridge (1996)

    Google Scholar 

  3. Harley, T.: The Psychology of Language: From Data to Theory. Psychology Press, Hove (2001)

    Book  Google Scholar 

  4. Thiessen, E.D., Saffran, J.R.: When cues collide: Use of stress and statistical cues to word boundaries by 7- to 9-month-old infants. Developmental Psychology 39, 706–716 (2003)

    Article  Google Scholar 

  5. Cooper, N., Cutler, A., Wales, R.: Constraints of lexical stress on lexical acces in English: Evidence from native and non-native listeners. Language and Speech 45, 207–228 (2002)

    Article  Google Scholar 

  6. Sluijter, A.: Phonetic Correlates of Stress and Accent. PhD thesis, Leiden University (1995)

    Google Scholar 

  7. van Kuijk, D., Boves, L.: Acoustic characteristics of lexical stress in continuous telephone speech. Speech Communication 27, 95–111 (1999)

    Article  Google Scholar 

  8. Bouwman, A.G.G., Boves, L.: Using information on lexical stress for utterance verification. In: Proceedings of ITRW on Prosody in ASRU, Red Bank, pp. 29–34 (2001)

    Google Scholar 

  9. van Kuijk, D., van den Heuvel, H., Boves, L.: Using lexical stress in continuous speech recognition for Dutch. In: Proceedings ICSLP IV, pp. 1736–1739 (1996)

    Google Scholar 

  10. Wang, C., Seneff, S.: Lexical stress modeling for improved speech recognition of spontaneous telephone speech in the JUPITER domain (2001)

    Google Scholar 

  11. van den Heuvel, H., van Kuijk, D., Boves, L.: Modelling lexical stress in continuous speech recognition. Speech Communication 40, 335–350 (2003)

    Article  Google Scholar 

  12. Greenberg, S., Carvey, H., Hitchcock, L., Chang, S.: Temporal properties of spontaneous speech—a syllable-centric perspective. Journal of Phonetics 31, 465–485 (2003)

    Article  Google Scholar 

  13. van Son, R.J.J.H., Pols, L.C.W.: An acoustic profile of consonant reduction. In: Proceedings ICSLP, vol. 3, pp. 1529–1532 (1996)

    Google Scholar 

  14. Xie, H., Andreae, P., Zhang, M., Warren, P.: Detecting stress in spoken English using decision trees and support vector machines. In: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, pp. 145–150. Australian Computer Society, Inc. (2004)

    Google Scholar 

  15. Wang, X.: Duration modelling in HMM-based speech recognition. PhD thesis, University of Amsterdam (1997)

    Google Scholar 

  16. Russell, M.J., Moore, R.K.: Explicit modelling of state occupancy in hidden Markov models for automatic speech recognition. In: Proceedings of ICASSP, vol. 10, pp. 5–8 (1985)

    Google Scholar 

  17. Ramesh, P., Wilpon, J.G.: Modeling state durations in hidden Markov models for automatic speech recognition. In: Proceedings of ICASSP, vol. 1, pp. 381–384 (1992)

    Google Scholar 

  18. Sitaram, R.N.V., Sreenivas, T.: Incorporating phonetic properties and hidden Markov models for speech recognition. Journal of the Acoustical Society of America 102, 1149–1158 (1997)

    Article  Google Scholar 

  19. Young, S., Evermann, G., Hain, T., Kershaw, D., Moore, G., Odell, J., Ollason, D., Povey, D., Valtchev, V., Woodland, P.: The HTK book (for HTK version 3.2.1) (2002)

    Google Scholar 

  20. Wiggers, P., Wojdel, J.C., Rothkrantz, L.J.: Development of a speech recognizer for the Dutch language. In: Proceedings of 7th annual scientific conference on web technology, new media, communications and telematics theory, methods, tools and applications (EUROMEDIA), pp. 133–138 (2002)

    Google Scholar 

  21. Wojdeł, J.C.: Automatic Lipreading in the Dutch Language. PhD thesis, Delft University of Technology, Delft (2003)

    Google Scholar 

  22. Boersma, P.: PRAAT, a system for doing phonetics by computer. Glot International 5, 341–345 (2001)

    Google Scholar 

  23. Bolinger, D.: Intonation and its Parts. Edward Arnold, London (1986)

    Google Scholar 

  24. Bolinger, D.: Intonation and its Uses. PhD thesis, Stanford University (1989)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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van Dalen, R.C., Wiggers, P., Rothkrantz, L.J.M. (2005). Modelling Lexical Stress. In: Matoušek, V., Mautner, P., Pavelka, T. (eds) Text, Speech and Dialogue. TSD 2005. Lecture Notes in Computer Science(), vol 3658. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11551874_27

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  • DOI: https://doi.org/10.1007/11551874_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28789-6

  • Online ISBN: 978-3-540-31817-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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