DocumentCode :
395112
Title :
Roles of frequency-modulated components of monosyllabic sounds in auditory processing
Author :
Ono, Tsuyoshi ; Waki, Kouji ; Hoshino, Osamu ; Kuroiwa, Kazuharu
Author_Institution :
Dept. of Human Welfare Eng., Oita Univ., Japan
Volume :
1
fYear :
2002
fDate :
18-22 Nov. 2002
Firstpage :
120
Abstract :
Noise burst (NB), frequency-modulated (FM) and constant frequency (CF) components are considered major vocal components of monosyllabic sounds. Based on hierarchical neural network architecture, we investigated roles of frequency-modulated components in monosyllabic sound processing. The neural network of the first stage decomposes monosyllabic sounds into time varying spectral components (NBs, FMs, CFs). Three neural networks of the second stage detect these components and encode them as dynamical point attractors of network dynamic, which then are integrated by the neural network of the third stage into single point attractors corresponding to the monosyllables. Perception of a monosyllabic sound is the emergence of the single point attractor at the third stage corresponding to the monosyllable. We demonstrate that frequency-modulated components are advantageous for encoding monosyllables into relevant dynamical point attractors but not necessary for monosyllabic sound perception.
Keywords :
audio signal processing; hearing; neural nets; physiological models; auditory processing; constant frequency components; dynamical point attractors; frequency-modulated components; hierarchical neural network architecture; monosyllabic sounds; network dynamic; noise burst components; time varying spectral components; Acoustic noise; Acoustical engineering; Biological neural networks; Flexible manufacturing systems; Frequency modulation; Humans; Neural networks; Neurons; Niobium; Sonogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
Type :
conf
DOI :
10.1109/ICONIP.2002.1202143
Filename :
1202143
Link To Document :
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