Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Automatic Phonetic Segmentation of Spanish Emotional Speech
Year:2007
Research Areas
  • Artificial intelligence,
  • Electronics engineering
Information
Abstract
To achieve high quality synthetic emotional speech, unitselection is the state-of-the-art technique. Nevertheless, a large expensive phonetically-segmented corpus is needed, and cost-effective automatic techniques should be studied. According to the HMM experiments in this paper: segmentation performance can depend heavily on the segmental or prosodic nature of the intended emotion (segmental emotions are more difficult to segment than prosodic ones), several emotions should be combined to obtain a larger training set (especially when prosodic emotions are involved; this is especially true for small training sets) and a combination of emphatic and nonemphatic emotional recordings (short sentences vs. long paragraphs) can degrade overall performance.
International
Si
Congress
8th Annual Conference of the Internacional Speech Communication Association (Interspeech 2007)
960
Place
Antwerp, Belgium
Reviewers
Si
ISBN/ISSN
ISSN 1990-9772
Start Date
27/08/2007
End Date
31/08/2007
From page
To page
Participants
  • Autor: Ascensión Gallardo Antolín (Department of Signal Theory and Communications, Universidad Carlos III de Madrid)
  • Autor: Mark Schröder (DFKI GmbH, Saarbrücken, Germany)
  • Autor: Juan Manuel Montero Martinez (UPM)
  • Autor: Sacha Krstulovic (DFKI GmbH, Saarbrücken, Germany)
  • Autor: Roberto Barra Chicote (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de tecnología del habla
  • Departamento: Ingeniería Electrónica
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