Earticle

초록

영어

This study proposes a post-processor to reduce the effect of musical residual noise which is annoying to the human ear. Initially, a state-of-the-art speech enhancement algorithm is performed as the first stage to reduce background noise for noisy speech. Hence the enhanced speech is post-processed by a hybrid-mean filter to reduce the musical effect of residual noise. In the case of a vowel-like spectrum, directional-mean filtering is performed to slightly reduce the musical effect of residual noise, where the harmonic spectrum can be well maintained at an acceptable level. Conversely, block-mean filtering is performed to heavily reduce the spectral variation for noise-dominant spectra, enabling musical tones to be significantly smoothed. The musical effect of residual noise is therefore reduced. Finally, the pre-processed, the directional-mean filtered and the block-mean filtered spectra are fused according to speech-presence probability. Experimental results show that the proposed hybrid-mean filter can efficiently improve the performance of a speech enhancement system by reducing the musical effect of residual noise.

목차

Abstract
 1. Introduction
 2. Proposed Speech Enhancement System
  2.1. Robust Harmonic Estimation
  2.2. Speech-Presence Probability
  2.3. Hybrid-mean filter
 3. Experimental Results
  3.1. Noise Estimate
  3.2. Segmental SNR Improvement
  3.3. Perceptual Evaluation of Speech Quality
  3.4. Waveforms
  3.5. Spectrograms
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Ching-Ta Lu [ Department of Information Communication, Asia University ]
• Kun-Fu Tseng [ Department of Multimedia and Game Science, Asia-Pacific Institute of Creativity ]
• Chih-Tsung Chen [ Department of Multimedia and Game Science, Asia-Pacific Institute of Creativity ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605