Title :
Speech analysis for automatic speech recongnition: A review
Author :
Haton, Jean-Paul
Author_Institution :
LORIA/INRIA, Inst. Univ. de France, France
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;
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
DOI :
10.1109/SPED.2009.5156170
