A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
New HOS-based parameter estimation methods for speech recognition in noisy environments
1995 International Conference on Acoustics, Speech, and Signal Processing
Preserved Fulltext
In this paper the problem of recogmtlOn in noisy environments is addressed. Often, a recognition system is used in a noisy environment and there is no possibility of training it witJ� noisy samples. Classical speech analysis techniques are based on second-order statistics and their performance dramatically decreases when noise is present in the signal under analysis. In this paper new methods
doi:10.1109/icassp.1995.479613
dblp:conf/icassp/MorenoTVJ95
fatcat:aknwqfopqrhcrkx55w6fxlwi2y