An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio

Tiantian Bao; Yaxin Li; Kena Xu; Yonghao Wang; Wei Hu

doi:10.1007/978-3-319-95930-6_25

An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio

Tiantian Bao^*, Yaxin Li, Kena Xu, Yonghao Wang, Wei Hu

^*Corresponding author for this work

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

4 Citations (Scopus)

Original language	English
Title of host publication	Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings
Editors	Prashan Premaratne, Phalguni Gupta, De-Shuang Huang, Vitoantonio Bevilacqua
Publisher	Springer Verlag
Pages	266-275
Number of pages	10
ISBN (Print)	9783319959290
DOIs	https://doi.org/10.1007/978-3-319-95930-6_25
Publication status	Published (VoR) - 2018
Event	14th International Conference on Intelligent Computing, ICIC 2018 - Wuhan, China Duration: 15 Aug 2018 → 18 Aug 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10954 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Intelligent Computing, ICIC 2018
Country/Territory	China
City	Wuhan
Period	15/08/18 → 18/08/18

Keywords

Endpoint detection
Energy-zero ratio
Multi-window spectrum estimation

Access to Document

10.1007/978-3-319-95930-6_25

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Bao, T., Li, Y., Xu, K., Wang, Y., & Hu, W. (2018). An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio. In P. Premaratne, P. Gupta, D.-S. Huang, & V. Bevilacqua (Eds.), Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings (pp. 266-275). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10954 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-95930-6_25

Bao, Tiantian ; Li, Yaxin ; Xu, Kena et al. / An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio. Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings. editor / Prashan Premaratne ; Phalguni Gupta ; De-Shuang Huang ; Vitoantonio Bevilacqua. Springer Verlag, 2018. pp. 266-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{e95fd709710d4c0d88168f720df2bfdb,

title = "An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio",

keywords = "Endpoint detection, Energy-zero ratio, Multi-window spectrum estimation",

author = "Tiantian Bao and Yaxin Li and Kena Xu and Yonghao Wang and Wei Hu",

note = "Funding Information: This paper was supported by National Undergraduate Innovation Project with Granted No. 201710488004 and Fund of Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System with Granted No. znxx2018MS03 and znxx2018QN07. Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 14th International Conference on Intelligent Computing, ICIC 2018 ; Conference date: 15-08-2018 Through 18-08-2018",

year = "2018",

doi = "10.1007/978-3-319-95930-6_25",

language = "English",

isbn = "9783319959290",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "266--275",

editor = "Prashan Premaratne and Phalguni Gupta and De-Shuang Huang and Vitoantonio Bevilacqua",

booktitle = "Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings",

}

Bao, T, Li, Y, Xu, K, Wang, Y & Hu, W 2018, An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio. in P Premaratne, P Gupta, D-S Huang & V Bevilacqua (eds), Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10954 LNCS, Springer Verlag, pp. 266-275, 14th International Conference on Intelligent Computing, ICIC 2018, Wuhan, China, 15/08/18. https://doi.org/10.1007/978-3-319-95930-6_25

An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio. / Bao, Tiantian; Li, Yaxin; Xu, Kena et al.
Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings. ed. / Prashan Premaratne; Phalguni Gupta; De-Shuang Huang; Vitoantonio Bevilacqua. Springer Verlag, 2018. p. 266-275 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10954 LNCS).

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

TY - GEN

T1 - An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio

AU - Bao, Tiantian

AU - Li, Yaxin

AU - Xu, Kena

AU - Wang, Yonghao

AU - Hu, Wei

N1 - Funding Information: This paper was supported by National Undergraduate Innovation Project with Granted No. 201710488004 and Fund of Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System with Granted No. znxx2018MS03 and znxx2018QN07. Publisher Copyright: © 2018, Springer International Publishing AG, part of Springer Nature.

PY - 2018

Y1 - 2018

KW - Endpoint detection

KW - Energy-zero ratio

KW - Multi-window spectrum estimation

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U2 - 10.1007/978-3-319-95930-6_25

DO - 10.1007/978-3-319-95930-6_25

M3 - Conference contribution

AN - SCOPUS:85051861184

SN - 9783319959290

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 266

EP - 275

BT - Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings

A2 - Premaratne, Prashan

A2 - Gupta, Phalguni

A2 - Huang, De-Shuang

A2 - Bevilacqua, Vitoantonio

PB - Springer Verlag

T2 - 14th International Conference on Intelligent Computing, ICIC 2018

Y2 - 15 August 2018 through 18 August 2018

ER -

Bao T, Li Y, Xu K, Wang Y, Hu W. An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio. In Premaratne P, Gupta P, Huang DS, Bevilacqua V, editors, Intelligent Computing Theories and Application - 14th International Conference, ICIC 2018, Proceedings. Springer Verlag. 2018. p. 266-275. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-95930-6_25

An improved endpoint detection algorithm based on improved spectral subtraction with multi-taper spectrum and energy-zero ratio

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Keywords

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