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Advanced Technologies, Embedded and Multimedia for Human-centric Computing pp 1049–1054Cite as

Blind Signal Separation with Speech Enhancement

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 260))

Abstract

A new speech enhancement architecture using convolutive blind signal separation (CBSS) and subspace-based speech enhancement is presented. The spatial and spectral information are integrated to enhance the target speech signal and suppress both interference noise and background noise. Real-world experiments were carried out in a noisy office room. Experimental results demonstrate the superiority of the proposed architecture.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Central University, Jhongli, Taiwan, Republic of China

    Chang-Hong Lin, Jyun-Hong Li, Chih-Wei Su, Yu-Hao Chin & Jia-Ching Wang

  2. Department of Electrical Engineering, National Cheng-Kung University, Tainan, Taiwan, Republic of China

    Hsiao-Ping Lee & Jhing-Fa Wang

Authors
  1. Chang-Hong Lin
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  2. Hsiao-Ping Lee
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  3. Jyun-Hong Li
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  4. Chih-Wei Su
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  5. Yu-Hao Chin
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  6. Jhing-Fa Wang
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  7. Jia-Ching Wang
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Corresponding author

Correspondence to Jia-Ching Wang .

Editor information

Editors and Affiliations

  1. ES Department, National Cheng Kung University, Tainan City, Taiwan

    Yueh-Min Huang

  2. Engineering, National Ilan University Inst. Computer Science & Information, I-Lan, Taiwan

    Han-Chieh Chao

  3. Dept of Computer Sci. and Inf. Bao-Shan Campus, National Changhua University of Education, Changhua City, Taiwan

    Der-Jiunn Deng

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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© 2014 Springer Science+Business Media Dordrecht

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Cite this paper

Lin, CH. et al. (2014). Blind Signal Separation with Speech Enhancement. In: Huang, YM., Chao, HC., Deng, DJ., Park, J. (eds) Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Lecture Notes in Electrical Engineering, vol 260. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7262-5_119

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  • DOI: https://doi.org/10.1007/978-94-007-7262-5_119

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7261-8

  • Online ISBN: 978-94-007-7262-5

  • eBook Packages: EngineeringEngineering (R0)

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