Presentation	1995/9/29 A Study of the Speech Recognition Utilizing the Fractal Properties of Vocal Sounds SALVADOR SABANAL, MASAHIRO NAKAGAWA,
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Abstract(in English)	In this work, we shall propose a speech recognition model of words that utilizes the fractal properties of vocal sounds. Here the time-dependent multifractal dimensions (TDMFDs) of vocal sounds are used as recognition parameter. We find that TDMFDs and TDMFDs combined with the running power spectrum (RPS) and the time-dependent fractal dimension (TDFDs) by the critical exponent method(CEM) can achieve a higher recognition rate than the conventional RPS.
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Keyword(in English)	Vocal Sounds / Fractal Properties / Time-dependent Multifractal Dimensions / Neural Network / Recognition Rate
Paper #	MBE95-72
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Conference Information
Committee	MBE
Conference Date	1995/9/29(1days)
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Paper Information
Registration To	ME and Bio Cybernetics (MBE)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Study of the Speech Recognition Utilizing the Fractal Properties of Vocal Sounds
Sub Title (in English)
Keyword(1)	Vocal Sounds
Keyword(2)	Fractal Properties
Keyword(3)	Time-dependent Multifractal Dimensions
Keyword(4)	Neural Network
Keyword(5)	Recognition Rate
1st Author's Name	SALVADOR SABANAL
1st Author's Affiliation	Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology()
2nd Author's Name	MASAHIRO NAKAGAWA
2nd Author's Affiliation	Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology
Date	1995/9/29
Paper #	MBE95-72
Volume (vol)	vol.95
Number (no)	285
Page	pp.pp.-
#Pages	8
Date of Issue