International Symposium on Chinese Spoken Language Processing
August 23-24, 2002
The Efficient PMC for Robust Speech Recognition in Noisy Environments
Cailian Miao, Yangsheng Wang
Chinese Academy of Sciences, Beijing, China
The environment adaptive methods play an important part in
improving the robustness of automatic speech recognition. In this
paper, PMC is reviewed and improved to achieve the better
performance. The experiments have been done based on the
Cambridge’s HTK toolkit to implement the continuous Mandarin
digit recognition in noisy environments.
Miao, Cailian / Wang, Yangsheng (2002):
"The efficient PMC for robust speech recognition in noisy environments",
In ISCSLP 2002, paper 28.