Title :
Automatic segmentation and labeling based on boundary type for mandarin Chinese speech
Author :
Huang, Ping-mu ; Sun, Cheng-Li ; Guo, Jun
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
This paper presents an automatic segmentation and labeling method for mandarin chinese speech synthesis corpus. In order to improve the accuracy of segmentation, two types of HMM models are utilized to produce the INITIAL/FINAL and syllable boundaries. Three feature detection algorithms are applied to boundary refinement for speech boundaries of voiced/unvoiced/silence. Experimental results show the proposed method can improve the performance of the segmentation system significantly.
Keywords :
hidden Markov models; natural language processing; speech processing; speech synthesis; Mandarin Chinese speech; Mandarin Chinese speech synthesis corpus; boundary refinement; segmentation system; speech automatic segmentation; speech boundaries; speech labeling; Computer vision; Context modeling; Cybernetics; Detection algorithms; Hidden Markov models; Labeling; Machine learning; Mel frequency cepstral coefficient; Speech synthesis; Sun; HMM; Measurement of the distance between segments; Phoneme boundary-type; Speech segmentation; V/U/S detection;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620828
