Improving the Performance of the Minimum Statistics Noise Estimator for Single Channel Speech Enhancement(Speech and Hearing)

スポンサーリンク

概要

• 論文の詳細を見る

• This paper proposes an algorithm to improve the performance of the noise power spectrum estimation using the minimum statistics (MS). The minimum statistics noise estimator (MSNE) that is most efficient for speech enhancement often underestimates noise power when the signal characteristics changes abruptly. The proposed algorithm improves the accuracy of noise estimation by removing harmonic components of the speech signal. Simulation results verify that the performance of the proposed algorithm is better than that of the conventional algorithm in terms of the segmental SNR (S egS NR) and the spectral distance (S D).

• 社団法人電子情報通信学会の論文
• 2005-02-01

著者

• Ryu Seung

  Dept. Of Electrical And Electronic Eng. Yonsei University

• Youn Dae

  Dept. Of Electrical And Electronic Eng. Yonsei University

• Kang Hong

  Dept. Of Electrical And Electronic Eng. Yonsei University

• JUNG Sung

  Dept. of Electrical and Electronic Eng., Yonsei University

• Jung Sung

  Dept. Of Electrical And Electronic Eng. Yonsei University

関連論文

• Improving the Performance of the Minimum Statistics Noise Estimator for Single Channel Speech Enhancement(Speech and Hearing)

スポンサーリンク