A continuous vocoder for statistical parametric speech synthesis and its evaluation using an audio-visual phonetically annotated Arabic corpus-Reference-Cited by-同舟云学术

A continuous vocoder for statistical parametric speech synthesis and its evaluation using an audio-visual phonetically annotated Arabic corpus

Published:2020-03 Issue: Volume:60 Page:101025
ISSN:0885-2308
Container-title:Computer Speech & Language
language:en
Short-container-title:Computer Speech & Language

Author:

Al-Radhi Mohammed Salah,Abdo Omnia,Csapó Tamás Gábor,Abdou Sherif,Németh Géza,Fashal Mervat

Funder

VUK

EUREKA

National Research, Development and Innovation Office of Hungary

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference49 articles.

1. Building audio-visual phonetically annotated Arabic corpus for expressive text to speech;Abdo,2017

2. Time-domain envelope modulating the noise component of excitation in a continuous residual-based vocoder for statistical parametric speech synthesis;Al-Radhi,2017

3. Deep recurrent neural networks in speech synthesis using a continuous vocoder;Al-Radhi,2017

4. Towards a better representation of the envelope modulation of aspiration noise;Cabral,2013

5. Regularization techniques for discrete cepstrum estimation;Cappe;IEEE Signal Process.,1996

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