Fundamental frequency estimation of speech signals using MUSIC algorithm

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概要

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• 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.

• 社団法人日本音響学会の論文

著者

• Murakami T

  Meiji Univ. Kawasaki‐shi Jpn

• Ishida Y

  Meiji Univ. Kawasaki‐shi Jpn

• Ishida Yoshihisa

  School Of Science And Technology Meiji University

• Murakami Takahiro

  School of Science and Technology, Meiji University

関連論文

• Linear Phase IIR Hilbert Transformers Using Time Reversal Techniques (Special Section on Signal Processing and System Theory)
• Fundamental frequency estimation of speech signals using MUSIC algorithm

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