Article

Semantic Computing in Scalable Text-to-Speech System

Authors:

Zhang Wei,

Pang Min-hui,

Dai Li-rongAuthors Info & Claims

WSCS '08: Proceedings of the IEEE International Workshop on Semantic Computing and Systems

Pages 113 - 118

https://doi.org/10.1109/WSCS.2008.7

Published: 14 July 2008 Publication History

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Abstract

Because of diversity of hardware environments, building scalable text-to-speech system is an important issue of Corpus-based text-to-speech system. This paper proposes and analyses three semantic computing problems of building scalable text to speech system: similarity calculation, granular computing and automated instances-pruning process framework. According to these, an acoustic clustering algorithm-NuClustering-VPA and a data ranking algorithm-StaRp-VPA are constructed to pruning synthesis instances. In experiments, the naturalness scored by MOS remains almost unchanged when less than 50% instances are pruned off using these two algorithms and the MOS does not severely degrade when reduction rate is above 50% using StaRp-VPA algorithm.

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WSCS '08: Proceedings of the IEEE International Workshop on Semantic Computing and Systems

July 2008

180 pages

ISBN:9780769533162

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 July 2008

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text-to-speech system, speech synthesis, scalable speech synthesis system, scalable text-to-speech system, semantic computing

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Automatic Speech Recognition Used for Intelligibility Assessment of Text-to-Speech Systems

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Automatic Speech Recognition Used for Intelligibility Assessment of Text-to-Speech Systems

Speech-Input Speech-Output Communication for Dysarthric Speakers Using HMM-Based Speech Recognition and Adaptive Synthesis System

MFCC-GMM based accent recognition system for Telugu speech signals

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