@inproceedings{a85d5b26599f450c8069fcf4500b5097,
title = "Vocal effort modification through harmonics plus noise model representation",
abstract = "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.",
keywords = "expressive speech, harmonics plus noise model, speech conversion, speech synthesis, vocal effort, voice quality",
author = "{\`A}ngel Calzada and Socor{\'o}, {Joan Claudi}",
year = "2011",
doi = "10.1007/978-3-642-25020-0_13",
language = "English",
isbn = "9783642250194",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "96--103",
booktitle = "Advances in Nonlinear Speech Processing - 5th International Conference on Nonlinear Speech Processing, NOLISP 2011, Proceedings",
note = "5th International Conference on Nonlinear Speech Processing, NOLISP 2011 ; Conference date: 07-11-2011 Through 09-11-2011",
}