Fundamental frequency estimation of speech signals using MUSIC algorithm.

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  • Murakami Takahiro
    School of Science and Technology, Meiji University, 1–1–1, Higashi-Mita, Tama-ku, Kawasaki, 214–8571 Japan
  • Ishida Yoshihisa
    School of Science and Technology, Meiji University, 1–1–1, Higashi-Mita, Tama-ku, Kawasaki, 214–8571 Japan

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説明

In this article a new method for fundamental frequency estimation from the noisy spectrum of a speech signal is introduced. The fundamental frequency is one of the most essential characteristics for speech recognition, speech coding and so on. The proposed method uses the MUSIC algorithm, which is an eigen-based subspace decomposition method.

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