Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement

Ching Ta Lu, Yung-Yu Chen, Jun Hong Shen, Ling Ling Wang, Chung Lin Lei

研究成果: Conference contribution

摘要

Although the power-spectral-subtraction (PSS) algorithm is widely used in speech enhancement, this method suffers from musical residual noise. So the enhanced speech sounds annoying to the human ear. This study proposes using the cross term between the spectrum of speech and noise signals to be additionally subtracted from the power spectrum of noisy speech, enabling background noise to be efficiently removed. Experimental results show that the proposed method can significantly improve the performance of the PSS algorithm by the consideration on the cross term. The quantity of musical residual noise can be efficiently removed, while speech components are well preserved in the enhanced speech.

原文English
主出版物標題Frontier Computing - Theory, Technologies and Applications, FC 2016
編輯Neil Y. Yen, Jason C. Hung
發行者Springer Verlag
頁面579-590
頁數12
ISBN(列印)9789811031861
DOIs
出版狀態Published - 2018 一月 1
事件 5th International Conference on Frontier Computing, FC 2016 - Tokyo, Japan
持續時間: 2016 七月 132016 七月 15

出版系列

名字Lecture Notes in Electrical Engineering
422
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other 5th International Conference on Frontier Computing, FC 2016
國家Japan
城市Tokyo
期間16-07-1316-07-15

指紋

Speech enhancement
Power spectrum
Acoustic noise
Compensation and Redress
Acoustic waves

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

引用此文

Lu, C. T., Chen, Y-Y., Shen, J. H., Wang, L. L., & Lei, C. L. (2018). Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement. 於 N. Y. Yen, & J. C. Hung (編輯), Frontier Computing - Theory, Technologies and Applications, FC 2016 (頁 579-590). (Lecture Notes in Electrical Engineering; 卷 422). Springer Verlag. https://doi.org/10.1007/978-981-10-3187-8_55
Lu, Ching Ta ; Chen, Yung-Yu ; Shen, Jun Hong ; Wang, Ling Ling ; Lei, Chung Lin. / Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement. Frontier Computing - Theory, Technologies and Applications, FC 2016. 編輯 / Neil Y. Yen ; Jason C. Hung. Springer Verlag, 2018. 頁 579-590 (Lecture Notes in Electrical Engineering).
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abstract = "Although the power-spectral-subtraction (PSS) algorithm is widely used in speech enhancement, this method suffers from musical residual noise. So the enhanced speech sounds annoying to the human ear. This study proposes using the cross term between the spectrum of speech and noise signals to be additionally subtracted from the power spectrum of noisy speech, enabling background noise to be efficiently removed. Experimental results show that the proposed method can significantly improve the performance of the PSS algorithm by the consideration on the cross term. The quantity of musical residual noise can be efficiently removed, while speech components are well preserved in the enhanced speech.",
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Lu, CT, Chen, Y-Y, Shen, JH, Wang, LL & Lei, CL 2018, Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement. 於 NY Yen & JC Hung (編輯), Frontier Computing - Theory, Technologies and Applications, FC 2016. Lecture Notes in Electrical Engineering, 卷 422, Springer Verlag, 頁 579-590, 5th International Conference on Frontier Computing, FC 2016, Tokyo, Japan, 16-07-13. https://doi.org/10.1007/978-981-10-3187-8_55

Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement. / Lu, Ching Ta; Chen, Yung-Yu; Shen, Jun Hong; Wang, Ling Ling; Lei, Chung Lin.

Frontier Computing - Theory, Technologies and Applications, FC 2016. 編輯 / Neil Y. Yen; Jason C. Hung. Springer Verlag, 2018. p. 579-590 (Lecture Notes in Electrical Engineering; 卷 422).

研究成果: Conference contribution

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AB - Although the power-spectral-subtraction (PSS) algorithm is widely used in speech enhancement, this method suffers from musical residual noise. So the enhanced speech sounds annoying to the human ear. This study proposes using the cross term between the spectrum of speech and noise signals to be additionally subtracted from the power spectrum of noisy speech, enabling background noise to be efficiently removed. Experimental results show that the proposed method can significantly improve the performance of the PSS algorithm by the consideration on the cross term. The quantity of musical residual noise can be efficiently removed, while speech components are well preserved in the enhanced speech.

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Lu CT, Chen Y-Y, Shen JH, Wang LL, Lei CL. Improvement of power-spectral-subtraction algorithm using cross-term compensation for speech enhancement. 於 Yen NY, Hung JC, 編輯, Frontier Computing - Theory, Technologies and Applications, FC 2016. Springer Verlag. 2018. p. 579-590. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-981-10-3187-8_55