Using Morphossyntactic Information in TTS Systems: Comparing Strategies for European Portuguese | SpringerLink
Skip to main content
Springer Nature Link
Log in

Using Morphossyntactic Information in TTS Systems: Comparing Strategies for European Portuguese

  • Conference paper
  • First Online:
Computational Processing of the Portuguese Language (PROPOR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2721))

Abstract

To improve the quality of the speech produced by a Text-to- Speech (TTS) system, it is important to obtain the maximum amount of information from the input text that may help in this task. This covers a wide range of possibilities that can go from the simple conversion of non orthographic items to more complex syntactic and semantic analysis. In this paper, we present the development of a morphossyntactic tagging system and analyze its influence on the performance of a TTS system for European Portuguese.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. J. Allen. Natural Language Understanding. The Benjamin/Cummings Publishing Company, Inc, 1995.

    Google Scholar 

  2. F. Bacelar, J. Bettencourt, P. Marrafa, R. Ribeiro, R. Veloso, and L. Wittmann. LE-PAROLE — Do corpus à modelização da informação lexical num sistema multifunção. In Actas do XIII Encontro da APL, Portugal, 1997.

    Google Scholar 

  3. A.W. Black, P. Taylor, and R. Caley. The Festival Speech Synthesis System. University of Edimburgh, 1999.

    Google Scholar 

  4. A.H. Branco and J.R. Silva. EtiFac: A facilitating tool for manual tagging. In Actas do XVII Encontro Anual da APL, pages 1427–1431, Lisboa, Portugal, 2002. APL e Colibri.

    Google Scholar 

  5. E. Brill. Transformation-based error-driven learning and natural language processing. Computational Linguistics, 21(4), 1995.

    Google Scholar 

  6. Caroline Hagège. Personal communication, 2001.

    Google Scholar 

  7. X. Huang, A. Acero, and H. Hon. Spoken Language Processing: A Guide to Theory, Algorithm, and System Development. Prentice Hall, 2001.

    Google Scholar 

  8. É. Laporte. Tratamento das Línguas por Computador, chapter Resolução de ambiguidades. Caminho, 2001.

    Google Scholar 

  9. José Carlos Medeiros. Processamento morfológico e correcção ortográfica do português. Master’s thesis, Instituto Superior Técnico, Portugal, 1995.

    Google Scholar 

  10. C. Oravecz and P. Dienes. Efficient stochastic part-of-speech tagging for hungarian. In Proc. of the Third LREC, pages 710–717, Las Palmas, Espanha, 2002. ELRA.

    Google Scholar 

  11. Ricardo Ribeiro. Anotação morfossintáctica desambiguada do português. Master’s thesis, Instituto Superior Técnico, Portugal, 2003.

    Google Scholar 

  12. T.B. Sardinha. Compilação e anotação de um corpus de português de linguagem profissional. The Especialist, 21(1):111–147, 2000.

    Google Scholar 

  13. M.C. Viana, L.C. Oliveira, and A.I. Mata. Prosodic phrasing: human and machine evaluation. In Proc. of the 4th ISCA Workshop on Speech Synthesis, Scotland, 2001.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. INESC-ID Lisboa/ISCTE, Portugal

    Ricardo Ribeiro

  2. Spoken Language Systems Lab, INESC-ID Lisboa/IST, R. Alves Redol, 9, 1000-029, Lisbon, Portugal

    Luís Oliveira & Isabel Trancoso

Authors
  1. Ricardo Ribeiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Luís Oliveira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Isabel Trancoso
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. L2F, INESC-ID Lisboa, Technical University of Lisbon, Rua Alves Redol, 9, 1000-029, Lisbon, Portugal

    Nuno J. Mamede  & Isabel Trancoso  & 

  2. Faculty of Humanities and Social Sciences, University of Algarve, Campus de Gambelas, 8005-139, Faro, Portugal

    Jorge Baptista

  3. NILC, ICMC-USP São-Carlos, Av. do Trabalhador São-Carlense, 400, 13560-970, São Carlos, SP, Brazil

    Maria das Graças Volpe Nunes

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ribeiro, R., Oliveira, L., Trancoso, I. (2003). Using Morphossyntactic Information in TTS Systems: Comparing Strategies for European Portuguese. In: Mamede, N.J., Trancoso, I., Baptista, J., das Graças Volpe Nunes, M. (eds) Computational Processing of the Portuguese Language. PROPOR 2003. Lecture Notes in Computer Science(), vol 2721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45011-4_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-45011-4_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40436-1

  • Online ISBN: 978-3-540-45011-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation