Experiments on the Construction of a Phonetically Balanced Corpus from the Web

Luis Villaseñor-Pineda 1 Manuel Montes-Y-Gómez 1 Dominique Vaufreydaz 2, 3 Jean-François Serignat 3
1 Laboratorio de Tecnologías de Lenguaje
2 PRIMA - Perception, recognition and integration for observation of activity
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
3 CLIPS-IMAG - Equipe GEOD, Groupe d'étude sur l'oral et le dialogue
LIG - Laboratoire d'Informatique de Grenoble
Abstract : The construction of a speech recognition system requires a recorded set of phrases to compute the pertinent acoustic models. This set of phrases must be phonetically rich and balanced in order to obtain a robust recognizer. By tradition, this set is defined manually implicating a great human effort. In this paper we propose an automated method for assembling a phonetically balanced corpus (set of phrases) from the Web. The proposed method was used to construct a phonetically balanced corpus for the Mexican Spanish language.
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Luis Villaseñor-Pineda, Manuel Montes-Y-Gómez, Dominique Vaufreydaz, Jean-François Serignat. Experiments on the Construction of a Phonetically Balanced Corpus from the Web. Conference on Intelligent Text Processing and Computational Linguistics CICLing-2004, Feb 2004, Seoul, South Korea. 4 p. ⟨inria-00326519⟩

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