Title :
Automatic Speech Recognition for Vietnamese Using HTK System
Author :
Nguyen Hong Quang ; Trinh Van Loan ; Le The Dat
Author_Institution :
Sch. of Inf. & Commun. Technol., Hanoi Univ. of Technol., Hanoi, Vietnam
Abstract :
This paper presents our research on Vietnamese speech recognition using HTK1 system. Our method is the adaptation of Vietnamese data into HTK system: text corpus was collected from Web and then bigram language model was built by the CMU SLM toolkit. The experiments were carried out with different acoustic models. Further more, the experiment using speaker adaptation technique was implemented by MLLR algorithm. For our results, WA (Word Accuracy) in the case of speaker independent recognition test is 71.37% and 75.96% with the test of speaker adaptation.
Keywords :
natural language processing; speech recognition; CMU SLM toolkit; HTK system; MLLR algorithm; Vietnamese speech recognition; acoustic model; automatic speech recognition; bigram language model; speaker adaptation technique; text corpus; Acoustics; Adaptation model; HTML; Hidden Markov models; Speech; Speech recognition; Vocabulary;
Conference_Titel :
Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010 IEEE RIVF International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-8074-6
DOI :
10.1109/RIVF.2010.5633587
