Spectro-temporal features for howling frequency detection

Jae Won Lee; Seung Ho Choi

doi:10.1007/978-3-642-35270-6_4

Spectro-temporal features for howling frequency detection

Jae Won Lee, Seung Ho Choi

Electronic Engineering Program

Seoul National University of Science and Technology (SNUST)

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

Abstract

The howling varies depending on the room environment and it is difficult to predict the howling. In this research work, we develop spectro-temporal features for howling frequency detection. For the detection of howling frequency, several techniques have been developed such as least mean square method. The proposed approach is based on statistical properties of temporal power spectra, which requires less computational complexity than conventional methods. The proposed method is experimentally shown to be suitable for applications in sound systems.

Original language	English
Title of host publication	Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings
Pages	25-30
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-642-35270-6_4
State	Published - 2012
Event	2012 Int. Conf. on Signal Processing, Image Processing and Pattern Recognition, SIP 2012, 2012 Int. Conf. on Web Science and Engineering, WSE 2012, and the 2012 Int. Conf. on Human Computer Interaction, ICHCI 2012, Held in Conjunction with GST 2012 - Jeju Island, Korea, Republic of Duration: 28 Nov 2012 → 2 Dec 2012

Publication series

Name	Communications in Computer and Information Science
Volume	342 CCIS
ISSN (Print)	1865-0929

Conference

Conference	2012 Int. Conf. on Signal Processing, Image Processing and Pattern Recognition, SIP 2012, 2012 Int. Conf. on Web Science and Engineering, WSE 2012, and the 2012 Int. Conf. on Human Computer Interaction, ICHCI 2012, Held in Conjunction with GST 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	28/11/12 → 2/12/12

Keywords

Acoustic feedback circuit
Howling frequency detection
Spectro-temporal feature

Access to Document

10.1007/978-3-642-35270-6_4

Cite this

Lee, J. W., & Choi, S. H. (2012). Spectro-temporal features for howling frequency detection. In Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings (pp. 25-30). (Communications in Computer and Information Science; Vol. 342 CCIS). https://doi.org/10.1007/978-3-642-35270-6_4

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title = "Spectro-temporal features for howling frequency detection",

abstract = "The howling varies depending on the room environment and it is difficult to predict the howling. In this research work, we develop spectro-temporal features for howling frequency detection. For the detection of howling frequency, several techniques have been developed such as least mean square method. The proposed approach is based on statistical properties of temporal power spectra, which requires less computational complexity than conventional methods. The proposed method is experimentally shown to be suitable for applications in sound systems.",

keywords = "Acoustic feedback circuit, Howling frequency detection, Spectro-temporal feature",

author = "Lee, \{Jae Won\} and Choi, \{Seung Ho\}",

year = "2012",

doi = "10.1007/978-3-642-35270-6\_4",

language = "English",

isbn = "9783642352690",

series = "Communications in Computer and Information Science",

pages = "25--30",

booktitle = "Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings",

note = "2012 Int. Conf. on Signal Processing, Image Processing and Pattern Recognition, SIP 2012, 2012 Int. Conf. on Web Science and Engineering, WSE 2012, and the 2012 Int. Conf. on Human Computer Interaction, ICHCI 2012, Held in Conjunction with GST 2012 ; Conference date: 28-11-2012 Through 02-12-2012",

}

Lee, JW & Choi, SH 2012, Spectro-temporal features for howling frequency detection. in Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings. Communications in Computer and Information Science, vol. 342 CCIS, pp. 25-30, 2012 Int. Conf. on Signal Processing, Image Processing and Pattern Recognition, SIP 2012, 2012 Int. Conf. on Web Science and Engineering, WSE 2012, and the 2012 Int. Conf. on Human Computer Interaction, ICHCI 2012, Held in Conjunction with GST 2012, Jeju Island, Korea, Republic of, 28/11/12. https://doi.org/10.1007/978-3-642-35270-6_4

Spectro-temporal features for howling frequency detection. / Lee, Jae Won; Choi, Seung Ho.
Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings. 2012. p. 25-30 (Communications in Computer and Information Science; Vol. 342 CCIS).

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

TY - GEN

T1 - Spectro-temporal features for howling frequency detection

AU - Lee, Jae Won

AU - Choi, Seung Ho

PY - 2012

Y1 - 2012

N2 - The howling varies depending on the room environment and it is difficult to predict the howling. In this research work, we develop spectro-temporal features for howling frequency detection. For the detection of howling frequency, several techniques have been developed such as least mean square method. The proposed approach is based on statistical properties of temporal power spectra, which requires less computational complexity than conventional methods. The proposed method is experimentally shown to be suitable for applications in sound systems.

AB - The howling varies depending on the room environment and it is difficult to predict the howling. In this research work, we develop spectro-temporal features for howling frequency detection. For the detection of howling frequency, several techniques have been developed such as least mean square method. The proposed approach is based on statistical properties of temporal power spectra, which requires less computational complexity than conventional methods. The proposed method is experimentally shown to be suitable for applications in sound systems.

KW - Acoustic feedback circuit

KW - Howling frequency detection

KW - Spectro-temporal feature

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U2 - 10.1007/978-3-642-35270-6_4

DO - 10.1007/978-3-642-35270-6_4

M3 - Conference contribution

AN - SCOPUS:84869821076

SN - 9783642352690

T3 - Communications in Computer and Information Science

SP - 25

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BT - Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings

T2 - 2012 Int. Conf. on Signal Processing, Image Processing and Pattern Recognition, SIP 2012, 2012 Int. Conf. on Web Science and Engineering, WSE 2012, and the 2012 Int. Conf. on Human Computer Interaction, ICHCI 2012, Held in Conjunction with GST 2012

Y2 - 28 November 2012 through 2 December 2012

ER -

Lee JW, Choi SH. Spectro-temporal features for howling frequency detection. In Computer Applications for Web, Human Computer Interaction, Signal and Image Processing, and Pattern Recognition - Int. Conf., SIP, WSE, and ICHCI 2012, Held in Conjunction with GST 2012, Proceedings. 2012. p. 25-30. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-35270-6_4

Spectro-temporal features for howling frequency detection

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