A High Accuracy Approach for Prediction of Pronunciation for Out-of-Vocabulary English Words Based on Exemplar Learning

In TTS（text to speech）systems, the pronunciation of each word is needed to synthesize the voice Because every word in the text can not be listed exhaustively when processing the real world documents, no matter what the scope of dictionary is, some kinds of algorithms are needed to automatically predict the pronunciation of word which is not included in the lexicon In this paper an approach based on exemplar learning is introduced and its performance evaluated on a large scale English dictionary Experimental results show that this method can achieve accuracy of 70 1%, obviously higher than the published approaches