DocumentCode
3024978
Title
A comparative study of the use of zero-crossing analysis methods for vowel recognition
Author
Castelaz, Patrick F. ; Niederjohn, Russell J.
Author_Institution
Marquette Univesity, Milwaukee, Wisconsin
Volume
1
fYear
1976
fDate
27851
Firstpage
170
Lastpage
173
Abstract
Earlier results have determined mathematical interrelationships between several zero-crossing analysis methods which have been applied to automatic speech recognition. In the present paper, some initial work aimed at determining the relative applicability. of these zero-crossing analysis methods for speech recognition is presented. Toward this end, two simulation studies with English vowels are described. One study is aimed at determining the relative discriminability of the methods for vowel recognition. The other study is aimed at determining the noise vulnerability of the zero-crossing analysis methods. Results of this study indicate that one of the zero-crossing methods appears to have the potential for more accurate vowel recognition than the others.
Keywords
Automatic speech recognition; Biomedical measurements; Biomedical signal processing; Cepstral analysis; Data mining; Feature extraction; Information analysis; Speech analysis; Speech processing; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
Type
conf
DOI
10.1109/ICASSP.1976.1170088
Filename
1170088
Link To Document