Vocal effort modification through harmonics plus noise model representation

Àngel Calzada, Joan Claudi Socoró

Producció científica: Capítol de llibreContribució a una conferènciaAvaluat per experts

6 Cites (Scopus)

Resum

Harmonics plus Noise Model (HNM) is a well known speech signal representation technique that allows to apply high quality modifications to the signal used in text-to-speech systems providing higher flexibility than its counterpart TD-PSOLA based synthesis systems. In this paper an adaptation of the adaptive pre-emphasis linear prediction technique for modifying the vocal effort, using HNM speech representation, is presented. The proposed transformation methodology is validated using a Copy Re-synthesis strategy on a speech corpora specifically designed with three levels of vocal effort (soft, modal and loud). The results of a perceptual test demonstrate the effectiveness of the proposed technique performing all different vocal effort conversions for the given corpus.

Idioma originalAnglès
Títol de la publicacióAdvances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings
Pàgines96-103
Nombre de pàgines8
DOIs
Estat de la publicacióPublicada - 2011
Esdeveniment5th International Conference on Nonlinear Speech Processing, NOLISP 2011 - Las Palmas de Gran Canaria, Spain
Durada: 7 de nov. 20119 de nov. 2011

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum7015 LNAI
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

Conferència

Conferència5th International Conference on Nonlinear Speech Processing, NOLISP 2011
País/TerritoriSpain
CiutatLas Palmas de Gran Canaria
Període7/11/119/11/11

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