Correct prosodic boundary prediction is crucial for the quality of synthesized speech in text-to-speech system. This article mainly presents the prosodic hierarchy of Uyghur language, which belongs to Turkish language...Correct prosodic boundary prediction is crucial for the quality of synthesized speech in text-to-speech system. This article mainly presents the prosodic hierarchy of Uyghur language, which belongs to Turkish language family of Altaic language system and further verifies the reliability of proposed Uyghur prosodic boundary annotation rules by acoustic analysis. In the prediction part, a two-layer shifting hierarchical approach based on decision tree is used for predicting prosodic word and prosodic phrase boundary, and the influence of different feature sets on the Uyghur prosodic boundary prediction is also investigated. Experimental results clearly show the acoustical changes and automatic prediction performance of different prosodic boundaries of Uyghur language, thus laying a good foundation for further research.展开更多
Prosodic control is an important part of speech synthesis system. Prosodic parameters choice right or wrong influences the quality of synthetic speech directly. At present, text to speech system has less effective des...Prosodic control is an important part of speech synthesis system. Prosodic parameters choice right or wrong influences the quality of synthetic speech directly. At present, text to speech system has less effective describe to reflect data relationships in the corpus. A new research approach - data mining technology to discover those relationships by association rules modeling is presented. And a new algorithm for generating association rules of prosodic parameters including pitch parameters and duration parameters from corpus is developed. The output rules improve the correctness of syllable choice in text to speech system.展开更多
基金Supported by the National Natural Science Foundation of China(61065005and61062008)
文摘Correct prosodic boundary prediction is crucial for the quality of synthesized speech in text-to-speech system. This article mainly presents the prosodic hierarchy of Uyghur language, which belongs to Turkish language family of Altaic language system and further verifies the reliability of proposed Uyghur prosodic boundary annotation rules by acoustic analysis. In the prediction part, a two-layer shifting hierarchical approach based on decision tree is used for predicting prosodic word and prosodic phrase boundary, and the influence of different feature sets on the Uyghur prosodic boundary prediction is also investigated. Experimental results clearly show the acoustical changes and automatic prediction performance of different prosodic boundaries of Uyghur language, thus laying a good foundation for further research.
基金This work was supported by the 863 National High Technology Project and the National Natural Science Foundation of China (No. 60275014).
文摘Prosodic control is an important part of speech synthesis system. Prosodic parameters choice right or wrong influences the quality of synthetic speech directly. At present, text to speech system has less effective describe to reflect data relationships in the corpus. A new research approach - data mining technology to discover those relationships by association rules modeling is presented. And a new algorithm for generating association rules of prosodic parameters including pitch parameters and duration parameters from corpus is developed. The output rules improve the correctness of syllable choice in text to speech system.
