DocumentCode :
2066538
Title :
Tone Evaluation of Chinese Continuous Speech Based on Prosodic Words
Author :
Pan, Yi-Qian ; Wei, Si ; Wang, Ren-Hua
Author_Institution :
Man Machine Voice Commun. Lab., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2008
fDate :
16-19 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Tonal evaluation of Chinese continuous speech plays an important role in Mandarin Chinese pronunciation test. In this paper, we introduce the Multi- Space Distribution Hidden Markov Model based on prosodic word. The results show that the performance of tonal syllable error rate can be reduced. For the non-standard Chinese Mandarin speech, the correlation between computer score and expert score was improved above 3.0% absolutely, compared with the baseline system without tonal pronunciation test.
Keywords :
hidden Markov models; natural language processing; speech processing; Chinese continuous speech; Mandarin Chinese pronunciation test; multi-space distribution hidden Markov model; prosodic words; tonal syllable error rate; tone evaluation; Context modeling; Databases; Error analysis; Face recognition; Frequency; Man machine systems; Natural languages; Speech analysis; Speech recognition; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Chinese Spoken Language Processing, 2008. ISCSLP '08. 6th International Symposium on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2942-4
Electronic_ISBN :
978-1-4244-2943-1
Type :
conf
DOI :
10.1109/CHINSL.2008.ECP.77
Filename :
4730331
Link To Document :
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