Experimental evaluation of the relevance of prosodic features in Spanish using machine learning techniques

EUROSPEECH 2003 - 8th European Conference on Speech Communication and Technology

Volumn , Issue , 2003, Pages 2309-2312

  Escudero, David ^a   Cardeñoso, Valentín ^a   Bonafonte, Antonio ^b  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; SPEECH COMMUNICATION;

EXPERIMENTAL EVALUATION; HIGH QUALITY; INPUT-OUTPUT; MACHINE LEARNING TECHNIQUES; PITCH CONTOURS; PROSODIC FEATURES;

LEARNING SYSTEMS;

EID: 85009174520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. V. Cardeñoso and D. Escudero, "Statistical modelling of stress groups in Spanish," in Proceedings of Prosody 2002, 2002.
2. D. Escudero and V. Cardeñoso A. Bonafonte, "Corpus based extraction of quantitative prosodic parameters of stress groups in Spanish," in Proceedings of ICASSP 2002, Mayo 2002.
3. D. Escudero, C. González, and V. Cardeñoso, "Quantitative evaluation of relevant prosodic factors for text-to-speech synthesis in Spanish," in Proceedings of ICSLP 2002, Mayo 2002.
4. A. Botinis, B. Granstrom, and B.Moebius, "Developments and Paradigms in Intonation Research," Speech Communications, vol. 33, pp. 263-296, July 2001.
5. I. H.Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations, Morgan Kaufmann, 1999.
6. D. Escudero, Modelado Estadístico de Entonación con Funciones de Bézier: Aplicaciones a la Conversión Texto Voz., Ph.D. thesis, Dpto. de Informática, Universidad de Valladolid, España, 2002.