Blind signal separation with speech enhancement

Chang Hong Lin; Hsiao Ping Lee; Jyun Hong Li; Chih Wei Su; Yu Hao Chin; Jhing Fa Wang; Jia Ching Wang

doi:10.1007/978-94-007-7262-5119

Blind signal separation with speech enhancement

Chang Hong Lin, Hsiao Ping Lee, Jyun Hong Li, Chih Wei Su, Yu Hao Chin, Jhing Fa Wang, Jia Ching Wang

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Pages	1049-1054
Number of pages	6
DOIs	https://doi.org/10.1007/978-94-007-7262-5119
State	Published - 2014
Event	Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan Duration: 23 Aug 2013 → 25 Aug 2013

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	260 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
Country/Territory	Taiwan
Period	23/08/13 → 25/08/13

Access to Document

10.1007/978-94-007-7262-5119

Cite this

@inproceedings{9dc9407ac8a347ecab4391c8814e9acb,

title = "Blind signal separation with speech enhancement",

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.",

author = "Lin, {Chang Hong} and Lee, {Hsiao Ping} and Li, {Jyun Hong} and Su, {Chih Wei} and Chin, {Yu Hao} and Wang, {Jhing Fa} and Wang, {Jia Ching}",

year = "2014",

doi = "10.1007/978-94-007-7262-5119",

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isbn = "9789400772618",

series = "Lecture Notes in Electrical Engineering",

pages = "1049--1054",

booktitle = "Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013",

note = "Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 ; Conference date: 23-08-2013 Through 25-08-2013",

}

Lin, CH, Lee, HP, Li, JH, Su, CW, Chin, YH, Wang, JF & Wang, JC 2014, Blind signal separation with speech enhancement. in Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013. Lecture Notes in Electrical Engineering, vol. 260 LNEE, pp. 1049-1054, Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013, Taiwan, 23/08/13. https://doi.org/10.1007/978-94-007-7262-5119

Blind signal separation with speech enhancement. / Lin, Chang Hong; Lee, Hsiao Ping; Li, Jyun Hong et al.
Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013. 2014. p. 1049-1054 (Lecture Notes in Electrical Engineering; Vol. 260 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Blind signal separation with speech enhancement

AU - Lin, Chang Hong

AU - Lee, Hsiao Ping

AU - Li, Jyun Hong

AU - Su, Chih Wei

AU - Chin, Yu Hao

AU - Wang, Jhing Fa

AU - Wang, Jia Ching

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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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U2 - 10.1007/978-94-007-7262-5119

DO - 10.1007/978-94-007-7262-5119

M3 - 會議論文篇章

AN - SCOPUS:84893779307

SN - 9789400772618

T3 - Lecture Notes in Electrical Engineering

SP - 1049

EP - 1054

BT - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

T2 - Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013

Y2 - 23 August 2013 through 25 August 2013

ER -

Blind signal separation with speech enhancement

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