Automatic Selection Algorithm of Mandarin Corpus for Voice Conversion
Yamin Shen, Hui Zhao, Quan Zhang, Chaojing Tang · Jisuanji gongcheng · 2011
In order to realize voice conversion,a satisfied voice conversion corpus needs to be built up.This paper proposes an automatic corpus selection algorithm based on the semi-syllable model.Because the number of corpus sentences is small for voice conversion,the semi-syllable is chosen as the basic unit of the corpus.The algorithm automatically selects corpus from original corpus.An evaluation function is utilized to score sentences from original corpus according to the number and the kind of semi-syllable.When the number of chosen sentences is 615,the set of selected text covers 97.8% of the semi-syllables.The covering rate,coverage efficiency and sparse rate are obviously better than that of conventional algorithms.