Title :
A study on Yunnan dialectal Chinese speech recognition
Author :
Pu, Yuan-yuan ; Yang, Jian ; Wei, Hong ; Xu, Dan
Author_Institution :
Sch. of Inf., Yunnan Univ., Kunming
Abstract :
In this paper, a Yunnan dialectal accents Putonghua speech corpus which collected by our lab is used in Yunnan dialectal Chinese speech recognition study. Several acoustic adaptation techniques are preformed to improve the recognition rate for accented speech and their performances are compared. Firstly, the baseline system is trained using the project 863psila standard Putonghua corpus, the recognition rate of Yunnan dialectal accents speech is obtained. It is lower than the recognition rate of standard Putonghua speech. Secondly, based on the Yunnan dialectal accents Putonghua speech corpus, Yunnan dialectal accents acoustic models are built, their performances are tested. Finally, speaker adaptation experiments are implemented. MLLR and MAP adaptation methods are used. The results show the proposed methods can evidently improve the recognition performances for Yunnan dialectal accents.
Keywords :
speech recognition; Chinese speech recognition; Putonghua speech corpus; Yunnan dialectal accents acoustic models; Yunnan dialectal accents speech; acoustic adaptation techniques; speaker adaptation; Acoustic testing; Cybernetics; Hidden Markov models; Loudspeakers; Machine learning; Maximum likelihood linear regression; Natural languages; Performance evaluation; Speech analysis; Speech recognition; Acoustical adaptation; Dialectal accent; MAP; MLLR; Putonghua speech recognition;
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.2008.4620876
