Microphone Array with Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator for Speech Enhancement(<Special Section>Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))

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概要

• 論文の詳細を見る

• This paper describes a new speech enhancement system that employs a microphone array with post-processing based on minimum mean-square error short-time spectral amplitude (MMSE-STSA) estimator. To get more accurate MMSE-STSA estimator in a microphone array, modification and refinement procedure are carried out from each microphone output. Performance of the proposed system is compared with that of other methods using a microphone array. Noise removal experiments for white and pink noises demonstrate the superiority of the proposed speech enhancement system to others with a microphone array in average output SNRs and cepstral distance measures.

• 社団法人電子情報通信学会の論文
• 2004-06-01

著者

• BAE Keunsung

  School of Electrical Engineering and Computer Science, Kyungpook National University

• Bae Keunsung

  School Of Electrical Engineering And Computer Science Kyungpook National University

• Bae Keunsung

  School Of Electronic And Electrical Engineering Kyungpook National University

• KWON Hongseok

  School of Electronic and Electrical Engineering, Kyungpook National University

• SON Jongmok

  School of Electronic and Electrical Engineering, Kyungpook National University

• Kwon H

  School Of Electronic And Electrical Engineering Kyungpook National University

• Son J

  Kyungpook National Univ. Daegu Kor

• Son Jongmok

  School Of Electronic And Electrical Engineering Kyungpook National University

• Bae Keunsung

  School Of Electrical Engineering And Computer Sci. Kyungpook National Univ.

関連論文

• Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module
• Microphone Array with Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator for Speech Enhancement(Papers Selected from 2003 International Technical Conference on Circuits/Systems, Computers and Communications(ITC-CSCC 2003))
• Underwater Transient Signal Classification Using Binary Pattern Image of MFCC and Neural Network
• Feature Extraction with Combination of HMT-Based Denoising and Weighted Filter Bank Analysis for Robust Speech Recognition(Corpus-Based Speech Technologies)
• Robust Detection of Underwater Transient Signals Using EVRC Noise Suppression Module
• HMM-Based Underwater Target Classification with Synthesized Active Sonar Signals

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