Production of LSP Parameter Sequences for Speech Synthesis Based on Neural Network Approach

Tadaaki SHIMIZU  Hiroki YOSHIMURA  Yoshihiko SHINDO  Naoki ISU  Kazuhiro SUGATA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E80-A   No.8   pp.1467-1471
Publication Date: 1997/08/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Digital Signal Processing)
Category: 
Keyword: 
speech synthesis by rule,  LSP,  VCV unit ,  neural network,  

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Summary: 
This paper presents a generating method of LSP parameter sequences for speech synthesis by rule. In our method, neural networks are schemed to generate LSP parameter sequences of Vowel-Consonant-Vowel (VCV) units. The quality of synthesized speech by concatenation way of VCV units through table-look-up technique can not be improved so much owing to the distortion appearing on VCV units junction. In our method, the neural networks concatenate VCV units step by step with less distortion on VCV units junction, which synthesizes good quality speech.