Integrated Dissonant Frequency Filtering and Noise Reduction for Improving Perceptual Quality of Noisy Speech and Husky Voice(Speech and Hearing)

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概要

• 論文の詳細を見る

• here have been numerous studies on the enhancement of the noisy speech signal. In this paper, We propose a new speech enhancement method, that is, a DFF (Dissonant Frequency Filtering) scheme combined with NR (noise reduction) algorithm. The simulation results indicate that the proposed method provides a significant gain in perceptual quality compared with the conventional method. Therefore if the proposed enhancement scheme is used as a pre-filter, the output speech quality would be enhanced perceptually.

• 社団法人電子情報通信学会の論文
• 2004-10-01

著者

• KANG Sangki

  Telecommuniation R & D Center, Samsung Electronics

• Kang S

  Telecommunication R&d Center Samsung Electronics Co. Ltd.

• Baek S‐j

  Department Of Electronics Engineering Chonnam National Univ.

• Baek Seong-joon

  Department Of Electronics Engineering Chonnam National Univ.

関連論文

• A Robust Recursive Least Square Algorithm against Impulsive Noise(Digital Signal Processing)
• Improved Global Soft Decision Using Smoothed Global Likelihood Ratio for Speech Enhancement(Multimedia Systems for Communications)
• Filtering of a Dissonant Frequency Based on Improved Fundamental Frequency Estimation for Speech Enhancement(Digital Signal Processing)
• A New Post-Filtering Algorithm for Residual Acoustic Echo Cancellation in Hands-Free Mobile Application(Mobile Multimedia Communications)
• Integrated Dissonant Frequency Filtering and Noise Reduction for Improving Perceptual Quality of Noisy Speech and Husky Voice(Speech and Hearing)

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