|
KMID : 0917520070140020091
|
|
Journal of Speech Sciences
2007 Volume.14 No. 2 p.91 ~ p.103
|
|
|
A Study of Decision Tree Modeling for Predicting the Prosody of Corpus-based Korean Text-To-Speech Synthesis
|
|
Kang Sun-Mee
Kwon Oh-Il
|
|
|
Abstract
|
|
|
|
The purpose of this paper is to develop a model enabling to predict the prosody of Korean text-to-speech synthesis using the CART and SKES algorithms. CART prefers a prediction variable in many instances. Therefore, a partition method by F-Test was applied to CART which had reduced the number of instances by grouping phonemes. Furthermore, the quality of the text-to-speech synthesis was evaluated after applying the SKES algorithm to the same data size. For the evaluation, MOS tests were performed on 30 men and women in their twenties. Results showed that the synthesized speech was improved in a more clear and natural manner by applying the SKES algorithm.
|
|
|
KEYWORD
|
|
|
Speech Synthesizer, TTS(Text-to-Speech), prosody prediction, CART, SKES, decision tree
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|