A New Speech Enhancement Algorithm for Car Environment Noise Cancellation with MBD and Kalman Filtering(<Special Section>Adaptive Signal Processing and Its Applications)

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概要

• 論文の詳細を見る

• We present a new speech enhancement algorithm in a car environment with two microphones. The car audio signals and other background noises are the target noises to be suppressed. Our algorithm is composed of two main parts, i.e., the spatial and the temporal processes. The multi-channel blind deconvolution (MBD) is applied to the spatial process while the Kalman filter with a second-order high pass filter, for the temporal one. For the fast convergence, the MBD is newly expressed in frequency-domain with a normalization matrix. The final performance evaluated with the severely car noise corrupted speech shows that our algorithm produces noticeably enhanced speech.

• 社団法人電子情報通信学会の論文
• 2005-03-01

著者

• Hahn Minsoo

  Multimedia Group Information And Communications Univ.

• Hahn Minsoo

  Multimedia Group Information And Commun. University

• BEACK Seungkwon

  Multimedia Group, Information and Commun. University

• NAM Seung

  Dept. of Engineering, Paichai University

• Nam Seung

  Dept. Of Engineering Paichai University

• Beack Seungkwon

  Multimedia Group Information And Commun. University

関連論文

• Implementation and Evaluation of an HMM-Based Korean Speech Synthesis System( Statistical Modeling for Speech Processing)
• Two-Band Excitation for HMM-Based Speech Synthesis(Speech and Herring)
• A New Speech Enhancement Algorithm for Car Environment Noise Cancellation with MBD and Kalman Filtering(Adaptive Signal Processing and Its Applications)

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