A robust formant extraction algorithm combining spectral peak picking and root polishing

  • Authors:
  • Chanwoo Kim;Kwang-deok Seo;Wonyong Sung

  • Affiliations:
  • School of Computer Science, Carnegie Mellon University, Pittsburgh, PA;Computer and Telecommunications Engineering Division, Yonsei University, Wonju, Gangwon, Korea;School of Electrical Engineering and Computer Science, Seoul National University, Gwanak-gu, Seoul, Korea

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2006

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Abstract

We propose a robust formant extraction algorithm that combines the spectral peak picking, formants location examining for peak merger checking, and the root extraction methods. The spectral peak picking method is employed to locate the formant candidates, and the root extraction is used for solving the peak merger problem. The location and the distance between the extracted formants are also utilized to efficiently find out suspected peak mergers. The proposed algorithm does not require much computation, and is shown to be superior to previous formant extraction algorithms through extensive tests using TIMIT speech database.