Ching-Ta Lu, Jun-Hong Shen, Kun-Fu Tseng, Chih-Tsung Chen. Refinement of Enhanced Speech Using Hybrid-Median Filter and Harmonic Regeneration Approach[J]. Journal of Electronic Science and Technology, 2014, 12(3): 293-298. DOI: 10.3969/j.issn.1674-862X.2014.03.010
Citation: Ching-Ta Lu, Jun-Hong Shen, Kun-Fu Tseng, Chih-Tsung Chen. Refinement of Enhanced Speech Using Hybrid-Median Filter and Harmonic Regeneration Approach[J]. Journal of Electronic Science and Technology, 2014, 12(3): 293-298. DOI: 10.3969/j.issn.1674-862X.2014.03.010

Refinement of Enhanced Speech Using Hybrid-Median Filter and Harmonic Regeneration Approach

doi: 10.3969/j.issn.1674-862X.2014.03.010
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This work was supported by the NCS under Grant No. NSC 102-2221-E-468-004.

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  • Author Bio:

    Ching-Ta Lu research interests include speech enhancement, image denoising, speech coding, and speech signal processing, Lucas1@ms26.hinet.net;
    Jun-Hong Shen, shenjh@asia.edu.tw;
    Kun-Fu Tseng, kftseng@ms.apic.edu.tw;
    Chih-Tsung Chen, ctcn@ms.apic.edu.tw

    Ching-Ta Lu research interests include speech enhancement, image denoising, speech coding, and speech signal processing, Lucas1@ms26.hinet.net;
    Jun-Hong Shen, shenjh@asia.edu.tw;
    Kun-Fu Tseng, kftseng@ms.apic.edu.tw;
    Chih-Tsung Chen, ctcn@ms.apic.edu.tw

    Ching-Ta Lu research interests include speech enhancement, image denoising, speech coding, and speech signal processing, Lucas1@ms26.hinet.net;
    Jun-Hong Shen, shenjh@asia.edu.tw;
    Kun-Fu Tseng, kftseng@ms.apic.edu.tw;
    Chih-Tsung Chen, ctcn@ms.apic.edu.tw

    Ching-Ta Lu research interests include speech enhancement, image denoising, speech coding, and speech signal processing, Lucas1@ms26.hinet.net;
    Jun-Hong Shen, shenjh@asia.edu.tw;
    Kun-Fu Tseng, kftseng@ms.apic.edu.tw;
    Chih-Tsung Chen, ctcn@ms.apic.edu.tw

  • Authors’ information: Ching-Ta Lu
  • Received Date: 2013-12-04
  • Rev Recd Date: 2014-02-28
  • Publish Date: 2014-09-24
  • 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.
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