DocumentCode :
3848417
Title :
Linear prediction of the one-sided autocorrelation sequence for noisy speech recognition
Author :
J. Hernando;C. Nadeu
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
5
Issue :
1
fYear :
1997
Firstpage :
80
Lastpage :
84
Abstract :
The article presents a robust representation of speech based on AR modeling of the causal part of the autocorrelation sequence. In noisy speech recognition, this new representation achieves better results than several other related techniques.
Keywords :
"Autocorrelation","Speech recognition","Linear predictive coding","Acoustic noise","Hidden Markov models","Noise robustness","Fourier transforms","Sliding mode control","Speech processing","Background noise"
Journal_Title :
IEEE Transactions on Speech and Audio Processing
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/89.554273
Filename :
554273
Link To Document :
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