TY - JOUR
AU1 - Mikaelian, Andrei L.
AB - The results of research into possibilities of making an apparatus for automatic recognition (vowels and syllables) in continuous speech are given. Methods of the preliminary processing of the electric analogue of the speech signal with the aim to decrease its excessiveness and to obtain the invariance with respect to acoustic phonetic categories are studied. A programmed model of a neural network for identification of signal fractions corresponding to acoustophonetic pattern is implemented. The experimental results of research of the computer model of an apparatus of automatic recognition are given.
TI - Using neural networks for acoustophonetic analysis of speech
JF - Proceedings of SPIE
DO - 10.1117/12.195598
DA - 1994-12-07
UR - https://www.deepdyve.com/lp/spie/using-neural-networks-for-acoustophonetic-analysis-of-speech-msREqecQ97
SP - 174
EP - 179
VL - 2430
IS - 1
DP - DeepDyve
ER -