DocumentCode
697997
Title
Extending features for automatic speech recognition by means of auditory modelling
Author
Szepannek, Gero ; Harczos, Tamas ; Klefenz, Frank ; Weihs, Claus
Author_Institution
Dept. of Stat., Dortmund Univ. of Technol., Dortmund, Germany
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
1235
Lastpage
1239
Abstract
When investigating the benefit of auditory modelling for automatic speech recognition applications typically different features or auditory simulation models are compared. In this work the attempt of combining several auditory model based feature extraction schemes is pursued, as well as their further combination with standard MFCC features.
Keywords
feature extraction; speech recognition; MFCC features; auditory simulation models; automatic speech recognition; feature extraction schemes; Delays; Feature extraction; Hidden Markov models; Psychoacoustic models; Speech; Speech recognition; Standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077571
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