Title :
Vowel recognition in Romanian language
Author :
Grigore, Ovidiu ; Gavat, Inge ; Zirra, Matei
Author_Institution :
Fac. of Electron. & Telecommun., Univ. Politehnica Bucharest, romania
Abstract :
In this paper are presented results obtained in a vowel recognition task applying unsupervised and supervised fuzzy algorithms and neural networks. The vowels, uttered from 10 speakers each in 250 different contexts are recognized using as features the first three formant frequencies. After an introduction, the feature extraction is presented and then the two fuzzy algorithms (fuzzy ISODATA, fuzzy k-NN) and the two neural nets (nonlinear perceptron, Kohonen map) used for recognition are given
Keywords :
feature extraction; fuzzy neural nets; multilayer perceptrons; pattern classification; self-organising feature maps; speech recognition; unsupervised learning; Kohonen map; Romanian language; feature extraction; first three formant frequencies; fuzzy ISODATA algorithm; fuzzy k-NN algorithm; homomorphic analysis; neural networks; nonlinear perceptron; pattern classification; speech recognition; supervised fuzzy algorithms; unsupervised fuzzy algorithms; vowel recognition; Automatic speech recognition; Cepstrum; Clustering algorithms; Feature extraction; Frequency; Fuzzy neural networks; Histograms; Neural networks; Prototypes; Speech recognition;
Conference_Titel :
Semiconductor Conference, 1997. CAS '97 Proceedings., 1997 International
Conference_Location :
Sinaia
Print_ISBN :
0-7803-3804-9
DOI :
10.1109/SMICND.1997.651330
