DocumentCode
3064200
Title
Recognition of consonant based on the perceptron model
Author
Makino, Shozo ; Kawabata, Takeshi ; Kido, Keniti
Author_Institution
Tohoku University
Volume
8
fYear
1983
fDate
30407
Firstpage
738
Lastpage
741
Abstract
This paper proposes a new method for the recognition of consonant based on the Perceptron model. The recognition model is composed of the sensory, feature extraction, response and lateral inhibition layers. The recognition scores of 90.4% to 98.4% are obtained for unvoiced affricates, unvoiced plosives, unvoiced and voiced fricatives.
Keywords
Band pass filters; Feature extraction; Finite impulse response filter; Frequency; Logic; Physics computing; Power system modeling; Speech analysis; Speech recognition; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.
Type
conf
DOI
10.1109/ICASSP.1983.1172080
Filename
1172080
Link To Document