Phonetically Transcribed Speech Corpus Designed for Context Based European Portuguese TTS

  • Maria Barros
  • Bernd Möbius
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6562)


This paper presents a speech corpus for European Portuguese (EP), designed for context based text-to-speech (TTS) synthesis systems. The speech corpus is intended for small footprint engines and is composed by one sentence dedicated to each sequence of two phonemes of the language, incorporating as many language contexts as possible at diphone and word levels. The speech corpus is presented in three forms: its orthographic sentences, its phonetic transcriptions considering the words coarticulation, typical phenomenon in EP and its phonetic transcriptions considering the words coarticulation and the vocalic reduction effects, which is another typical phenomenon of EP language. The paper describes the corpus and presents the results in total number of phonemes and their distribution in the word and the sentence, and the total number of diphones, considering and not considering the vocalic reduction for the phonetic transcription.


Speech corpus European Portuguese corpus text-to-speech corpus context based corpus 


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  1. 1.
    Barros, M.J., Maia, R., Tokuda, K., Freitas, D., Resende, F.G.: HMM-based European Portuguese Speech Synthesis. In: Interspeech 2005, Lisbon, Portugal (2005)Google Scholar
  2. 2.
    Linguateca: The first evaluation contest for morphological analysers of Portuguese (2003), (last visited on 02-09-2009)
  3. 3.
    Barros, M.J., et al: Backclose Nonsyllabic Vowel [u] Behavior in European Portuguese: Reduction or Supression. In: ICSP 2001, Taejon, South Korea (2001) Google Scholar
  4. 4.
    Barros, M.J., Weiss, C.: Maximum Entropy Motivated Grapheme-to-Phoneme, Stress and Syllable Boundary Prediction for Portuguese Text-to-Speech. In: IV Biennial Workshop on Speech Technology, Zaragoza, Spain (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Maria Barros
    • 1
  • Bernd Möbius
    • 2
  1. 1.Eurescom GmbHHeidelbergGermany
  2. 2.University of BonnBonnGermany

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