Vowel sound recognition using a spectrum envelope feature detection method and neural network

  • Authors:

  • Masashi Kawaguchi;Naohiro Yonekura;Takashi Jimbo;Naohiro Ishii

  • Affiliations:

  • Department of Electrical & Electronic Engineering, Suzuka National College of Technology, Suzuka, Mie, Japan;Department of Electrical & Electronic Engineering, Suzuka National College of Technology, Suzuka, Mie, Japan;Department of Environmental Technology and Urban Planning, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan;Department of Information Science, Aichi Institute of Technology, Toyota, Japan

  • Venue:
  • KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part III
  • Year:
  • 2010

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Abstract

We proposed vowel sound recognition using a spectrum envelope feature detection method. At first, we collected sound with a headset microphone and Windows sound recorder. I used disintegration Fourier transform and cepstrum analysis to create sound and extracted the characteristic point in the frequency axis of each vowel. I took the characteristic point from the first to the second. This is sample data of each vowel sound. With a neural network, I made a program to perform vowel sound recognition. As a result, I was able to finish the basic vowel recognition program. With this method two undulate mountains in the spectrum envelope graph of each voice data are selected. Each vowel sound can be categorized clearly in spite of the environment of the speaker indefiniteness. It is possible to improve the voice recognition in the speaker indefiniteness in the simple algorithm.