標題: Rich Prosodic Information Exploration on Spontaneous Mandarin Speech
作者: Lin, Cheng-Hsien
You, Chung-Long
Chiang, Chen-Yu
Wang, Yih-Ru
Chen, Sin-Horng
電機工程學系
Department of Electrical and Computer Engineering
關鍵字: prosodic information;prosody modeling;prosody labeling;spontaneous Mandarin speech;disfluency event
公開日期: 1-一月-2016
摘要: In this paper, rich prosodic information of spontaneous Mandarin speech is explored. The joint prosody labeling and modeling algorithm proposed previously for read speech is extended to spontaneous-speech prosody modeling by additionally considering the modeling of disfluency speech parts. It trains a hierarchical prosodic model and performs prosody labeling from a large speech corpus automatically. Rich prosodic information is then explored via analyzing model parameters and labeling results. By comparing the resulting prosodic model with that of read speech, we find that most affecting patterns, such as F0 contour patterns of 4 tones, have similar shapes or same trends but with much less dynamic ranges. Besides, the prosodic characteristics of various disfluency events, including repetition, restart, repair, contraction, and hesitation, are intensively investigated based on the labeling results. The information explored increases our knowledge about the phonology of spontaneous speech, and should be useful for assisting in ASR.
URI: http://hdl.handle.net/11536/146704
期刊: 2016 10TH INTERNATIONAL SYMPOSIUM ON CHINESE SPOKEN LANGUAGE PROCESSING (ISCSLP)
顯示於類別:會議論文