DocumentCode :
134265
Title :
Prosody modeling for Uyghur TTS
Author :
Imam, Gulmire ; Mamateli, Guljamal ; Ablitip, Maynur ; Hamdulla, Askar
Author_Institution :
Xinjiang Normal Univ., Urumqi, China
fYear :
2014
fDate :
12-14 Sept. 2014
Firstpage :
412
Lastpage :
412
Abstract :
The prosodic features of syllables such as duration, energy, mean pitch, maximum pitch, minimum pitch and pitch range are extracted from Uyghur TTS speech database and their variations in different prosodic hierarchy are analyzed. Prosodic feature model for Uyghur-language is built by using decision tree and designing contextual features. On that basis, the contextual model based on decision tree is proposed, and prediction performance is compared with the statistical average method. Finally, subjective and objective evaluation is presented.
Keywords :
decision trees; feature extraction; natural language processing; speech processing; Uyghur TTS speech database; Uyghur-language; contextual model; decision tree; prosodic feature model; prosody modeling; statistical average method; syllable prosodic feature extraction; Abstracts; Analytical models; Context modeling; Decision trees; Educational institutions; Feature extraction; Speech; Prosody Structure; Prosody modeling; TTS; Uyghur;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chinese Spoken Language Processing (ISCSLP), 2014 9th International Symposium on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/ISCSLP.2014.6936658
Filename :
6936658
Link To Document :
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