Title :
Vowel recognition method by using features included in amplitude for mobile device
Author :
Yazama, Y. ; Mitsukura, Y. ; Fukumi, M. ; Akamatsu, N.
Author_Institution :
Tokushima Univ., Japan
Abstract :
We propose a method of individual adaptive vowel recognition system, which uses features extracted from an amplitude waveform of vowel. We think that a simple vowel recognition system can be constructed by using a shape feature of waveform without converting a frequency. Then, we extract the amplitude features and divide five kinds of vowels into each combination of two kinds of vowels. The suitable amplitude features for vowel identification are selected for each vowel combination. A distribution of the suitable amplitude features is indicated by using discrete Voronoi diagram and sphere of influence of the amplitude feature is decided. A borderline between spheres of influence is identified to a function of vowel identification by using the least squares method. Finally, in order to show the effectiveness of the proposed method, computer simulations of vowel recognition are carried out by using the functions of vowel identification.
Keywords :
adaptive systems; computational geometry; digital simulation; feature extraction; least squares approximations; mobile handsets; speech recognition; adaptive vowel recognition system; amplitude feature extraction; computer simulations; discrete Voronoi diagram; least squares method; mobile device; vowel amplitude waveform; vowel identification; Adaptive systems; Cellular phones; Computer simulation; Feature extraction; Frequency conversion; Least squares methods; Mobile computing; Rabbits; Shape; Speech recognition;
Conference_Titel :
Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on
Print_ISBN :
0-7803-8570-5
DOI :
10.1109/ROMAN.2004.1374832