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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
DOI :
10.1109/ICASSP.1976.1170088