Perceptual Effects of the Degree of Articulation in HMM-Based Speech Synthesis

  • Benjamin Picart
  • Thomas Drugman
  • Thierry Dutoit
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7015)


This paper focuses on the understanding of the effects leading to high-quality HMM-based speech synthesis with various degrees of articulation. The adaptation of a neutral speech synthesizer to generate hypo and hyperarticulated speech is first performed. The impact of cepstral adaptation, of prosody, of phonetic transcription as well as the adaptation technique on the perceived degree of articulation is studied. For this, a subjective evaluation is conducted. It is shown that high-quality hypo and hyperarticulated speech synthesis requires the use of an efficient adaptation such as CMLLR. Moreover, in addition to prosody adaptation, the importance of cepstrum adaptation as well as the use of a Natural Language Processor able to generate realistic hypo and hyperarticulated phonetic transcriptions is assessed.


Speech Synthesis Voice Conversion Speech Synthesizer Phonetic Transcription Speaker Adaptation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Benjamin Picart
    • 1
  • Thomas Drugman
    • 1
  • Thierry Dutoit
    • 1
  1. 1.TCTS Lab, Faculté Polytechnique (FPMs)University of Mons (UMons)Belgium

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