Paper Info
Title
Phone-Based Speech Synthesis With Neural Network And Articulatory Control
Abstract
This paper presents a novel method for synthesizing speech signal using a phone-based concatenation approach. Neural network is employed for the generalization of the phone templates during synthesis. Simplified articulatory space input parameters based on a modified vowel diagram are used to provide flexible and effective articulatory control. It also enables the design of an articulatory control model for allophonic variations in speech signal. The network approach is chosen for its non-linear mapping of the relationship between the articulatory space parameters and the spectral information of speech signal. Sn addition, non-linear approximation for phone template transitions is facilitated. The phone templates of the synthesizer are implicitly stored as network parameters of a medium size network. The performance of this new speech synthesis technique is demonstrated with a prototype system specifically designed for Cantonese (a common Chinese dialect) and the synthetic speech quality is assessed by informal listening tests.
Year
DOI
Venue
1996
10.1109/ICSLP.1996.607248
ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4
Keywords
Field
DocType
speech intelligibility,neural network,network synthesis,controllability,backpropagation,speech processing,speech coding,natural languages,speech synthesis,neural networks
Speech processing,Speech synthesis,Voice activity detection,Computer science,Speech recognition,Time delay neural network,Natural language,Concatenation,Artificial neural network,Intelligibility (communication)
Conference
Citations 
PageRank 
References 
3
0.52
2
Authors
2
Name
Order
Citations
PageRank
W. K. Lo1101.90
Pak-chung Ching21366139.74