Vocal effort modification through harmonics plus noise model representation

Àngel Calzada, Joan Claudi Socoró

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

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 originalInglés
Título de la publicación alojadaAdvances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings
Páginas96-103
Número de páginas8
DOI
EstadoPublicada - 2011
Evento5th International Conference on Nonlinear Speech Processing, NOLISP 2011 - Las Palmas de Gran Canaria, Espana
Duración: 7 nov 20119 nov 2011

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen7015 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia5th International Conference on Nonlinear Speech Processing, NOLISP 2011
País/TerritorioEspana
CiudadLas Palmas de Gran Canaria
Período7/11/119/11/11

Huella

Profundice en los temas de investigación de 'Vocal effort modification through harmonics plus noise model representation'. En conjunto forman una huella única.

Citar esto