Noise-Robust Speech Analysis Using Running Spectrum Filtering(Speech and Hearing)

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概要

• 論文の詳細を見る

• This paper proposes a new robust adaptive processing algorithm that is based on the extended least squares (ELS) method with running spectrum filtering (RSF). By utilizing the different characteristics of running spectra between speech signals and noise signals, RSF can retain speech characteristics while noise is effectively reduced. Then, by using ELS, autoregressive moving average (ARMA) parameters can be estimated accurately. In experiments on real speech contaminated by white Gaussian noise and factory noise, we found that the method we propose offered spectrum estimates that were robust against additive noise.

• 社団法人電子情報通信学会の論文
• 2005-02-01

著者

• Miyanaga Yoshikazu

  Graduate School Of Information Science And Technology Hokkaido University

• Zhu Qi

  Graduate School Of Engineering Hokkaido University

• Ohtsuki Noriyuki

  Graduate School Of Engineering Hokkaido University

• YOSHIDA Norinobu

  Graduate School of Engineering, Hokkaido University

• Yoshida Norinobu

  Graduate School Of Engineering Hokkaido University

• Miyanaga Yoshikazu

  Graduate School Of Engineering Hokkaido University

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