Title :
Using tone information for Vietnamese continuous speech recognition
Author :
Hong Quang Nguyen ; Nocera, P. ; Castelli, Eric ; Van Loan Trinh
Author_Institution :
Lab. Inf. d´Avignon LIA, UAPV, Avignon
Abstract :
This paper presents our study on the use of tone information in a large vocabulary for a Vietnamese continuous speech recognition system. Firstly, a new module of tone recognition using Hidden Markov model is presented. Then, a new methodology for integrating this module into the Speeral system is given. The experiments were implemented on VNSpeechCorpus. The results showed that the direct use of tone score in the Speeral system would increase the performance of the system, e.g., 28.6% relative reduction in word error rate.
Keywords :
hidden Markov models; natural language processing; speech recognition; Speeral system; VNSpeechCorpus; Vietnamese continuous speech recognition; hidden Markov model; tone recognition; word error rate; Dictionaries; Error analysis; Frequency; Hidden Markov models; Indium phosphide; Natural languages; Power system modeling; Speech recognition; Statistical analysis; Vocabulary; Vietnamese speech; energy normalization; pitch contour; pitch normalization of tone; tone recognition;
Conference_Titel :
Research, Innovation and Vision for the Future, 2008. RIVF 2008. IEEE International Conference on
Conference_Location :
Ho Chi Minh City
Print_ISBN :
978-1-4244-2379-8
Electronic_ISBN :
978-1-4244-2380-4
DOI :
10.1109/RIVF.2008.4586340
