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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/64354


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/64354


    Title: Reduction of musical residual noise using hybrid-mean filter
    Authors: 陸清達;Lu, Ching-Ta;曾崑福;Tseng, Kun-Fu;陳志宗;Chen, Chih-Tsung
    Contributors: 資訊傳播學系
    Keywords: Speech enhancement;spectral subtraction;musical residual noise;median filter;post processing
    Date: 201308
    Issue Date: 2013-10-29 17:40:27 (UTC+8)
    Abstract: 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.
    Musical residual noise is a major problem for a speech
    enhancement system. This noise is annoying to the human ear
    and seriously deteriorates the quality of enhanced speech. In this
    paper, we employ a three-step-decision gain factor to enhance a
    noisy speech, enabling background noise to be efficiently reduced.
    Hence the enhanced speech is post-processed by a hybrid median
    filter to significantly reduce residual noise. In the case of a noiselike
    spectrum, block median filtering is performed to reduce the
    spectral variation. A musical tone is then reduced. In the case of a
    speech-like spectrum, directional median filtering is performed to
    slightly reducing the residual noise, while a harmonic spectrum is
    not destroyed. Experimental results show that the proposed
    approach can significantly improve the performance of a speech
    enhancement system by significantly reducing musical residual
    noise.
    Relation: International Journal of Signal Processing, Image Processing and Pattern Recognition, 6(4):165-178.
    Appears in Collections:[資訊傳播學系] 期刊論文

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