关键词: 语音, 音素, 关联, 多文种, 融合编码

Abstract: Multilingual speech data fusion coding method is proposed according to the phoneme data correlation properties, which exist among heterogeneous languages and different words in the same language. Voice sample sequences of the same phoneme data segment in different languages are intercepted according to the segment templates, wavelet transform is done to those sequences, then feature vectors is extracted to generate shared template sets. Speech data of any word or sentence are coded or decoded according to the template sets. The speech record database made up of template phoneme sets is indexed according to（syllable, phoneme） structure. The single word compression ratio, speech data size, segmental signal-to-noise ratio（SNRS） and score of subjective evaluation（MOS） are significantly better than existing methods, also the voice restoration is of good quality.

Key words: speech, phoneme, correlation, multilingual, fusion coding