DocumentCode
2403518
Title
Speech analysis for automatic speech recongnition: A review
Author
Haton, Jean-Paul
Author_Institution
LORIA/INRIA, Inst. Univ. de France, France
fYear
2009
fDate
18-21 June 2009
Firstpage
1
Lastpage
5
Abstract
The performance of a speech recognizer depends upon the quality and robustness of the acoustic and features extracted from the speech wave. Most of the speech parameterization methods proposed so far are not very robust against variations in the speech signal. In this paper we will go through some of the various approaches used so far.
Keywords
feature extraction; speech recognition; acoustic extraction; automatic speech recognition; feature extraction; speech analysis; speech parameterization method; Acoustic waves; Automatic speech recognition; Feature extraction; Fourier transforms; Frequency; Robustness; Spectrogram; Speech analysis; Speech processing; Speech recognition; ASR parameters; Auditory models; Speech parameterization; Speech recognizer;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech Technology and Human-Computer Dialogue, 2009. SpeD '09. Proceedings of the 5-th Conference on
Conference_Location
Constant
Print_ISBN
978-1-4244-4727-5
Type
conf
DOI
10.1109/SPED.2009.5156170
Filename
5156170
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