Refinement of Enhanced Speech Using Hybrid-Median Filter and Harmonic Regeneration Approach
Refinement of Enhanced Speech Using Hybrid-Median Filter and Harmonic Regeneration Approach作者机构:Department of Information Communication Asia University Department of Biomedical Imaging and Radiological Science China Medical University Department of Multimedia and Game Science Asia-Pacific Institute of Creativity
出 版 物:《Journal of Electronic Science and Technology》 (电子科技学刊(英文版))
年 卷 期:2014年第12卷第3期
页 面:293-298页
基 金:supported by the NCS under Grant No.NSC 102-2221-E-468-004
主 题:Harmonic regeneration hybrid-median filter noise reduction post-processing speech enhancement
摘 要:This study proposes a post-processor to improve the harmonic structure of a vowel in an enhanced speech, enabling the speech quality to be improved. Initially, a speech enhancement algorithm is employed to reduce the background noise for a noisy speech. Hence the enhanced speech is post-processed by a hybrid-median filter to reduce the musical effect of residual noise. Since the harmonic spectra are impacted by background noise and a speech enhancement process, the quality of a vowel is deteriorated. A harmonic regenerated method is developed to improve the quality of post-processed speech. Experimental results show that the proposed method can improve the quality of post-processed speech by adequately regenerating harmonic spectra.