INVESTIGADORES
TORRES Humberto Maximiliano
artículos
Título:
Linguistically motivated parameter estimation methods for a superpositional intonation model
Autor/es:
HUMBERTO M. TORRES; JORGE A. GURLEKIAN; HASJÖRG MIXDORFF ; HARTMUT PFITZINGER
Revista:
EURASIP Journal on Audio, Speech, and Music Processing
Editorial:
Springer-Verlag
Referencias:
Lugar: Heidelberg; Año: 2014 vol. 2014 p. 1 - 1
Resumen:
This paper proposes two novel approaches for parameter estimation of a superpositional intonation model. These approaches present linguistic and paralinguistic assumptions for initializing a pre-existing standard method. In addition all restrictions on the configuration of commands were eliminated. The proposed linguistic hypotheses can be based on either pitch accents or lexical stress, which give rise to two different estimation methods. These two hypotheses were validated by comparison of the estimation performance relative to two standard methods, one manual and one automatic. The results of the experiments for German, English and Spanish corpora show that the proposed methods outperform the standard ones.