Discrimination of music signals for mobile broadcasting receivers

Myung Suk Song, Hyun Woo Kang, Hong Goo Kang

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper proposes a Gaussian mixture model (GMM)-based music discrimination system for mobile broadcasting receivers. The objective of the system is automatically archiving music signals from audio broadcasting programs that are normally mixed with human voices, acoustic noises, commercial advertisements, and so on. To enhance the robustness of the system performance and to sharply cut the starting/ending-point of the recording, we also introduce a post-processing module whose features consist of signal duration, energy dynamics, and local variation of feature statistics. Experimental results to various input signals verify the superiority of the proposed system.

Original languageEnglish
Publication statusPublished - 2008 Oct 13
EventAES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices - Jeju Island, Korea, Republic of
Duration: 2008 Aug 282008 Aug 30

Other

OtherAES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices
CountryKorea, Republic of
CityJeju Island
Period08/8/2808/8/30

Fingerprint

broadcasting
music
Broadcasting
discrimination
receivers
Acoustic noise
Statistics
Processing
modules
recording
statistics
acoustics
energy

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Song, M. S., Kang, H. W., & Kang, H. G. (2008). Discrimination of music signals for mobile broadcasting receivers. Paper presented at AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Jeju Island, Korea, Republic of.
Song, Myung Suk ; Kang, Hyun Woo ; Kang, Hong Goo. / Discrimination of music signals for mobile broadcasting receivers. Paper presented at AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Jeju Island, Korea, Republic of.
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abstract = "This paper proposes a Gaussian mixture model (GMM)-based music discrimination system for mobile broadcasting receivers. The objective of the system is automatically archiving music signals from audio broadcasting programs that are normally mixed with human voices, acoustic noises, commercial advertisements, and so on. To enhance the robustness of the system performance and to sharply cut the starting/ending-point of the recording, we also introduce a post-processing module whose features consist of signal duration, energy dynamics, and local variation of feature statistics. Experimental results to various input signals verify the superiority of the proposed system.",
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year = "2008",
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note = "AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices ; Conference date: 28-08-2008 Through 30-08-2008",

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Song, MS, Kang, HW & Kang, HG 2008, 'Discrimination of music signals for mobile broadcasting receivers', Paper presented at AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Jeju Island, Korea, Republic of, 08/8/28 - 08/8/30.

Discrimination of music signals for mobile broadcasting receivers. / Song, Myung Suk; Kang, Hyun Woo; Kang, Hong Goo.

2008. Paper presented at AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Jeju Island, Korea, Republic of.

Research output: Contribution to conferencePaper

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AU - Song, Myung Suk

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AU - Kang, Hong Goo

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N2 - This paper proposes a Gaussian mixture model (GMM)-based music discrimination system for mobile broadcasting receivers. The objective of the system is automatically archiving music signals from audio broadcasting programs that are normally mixed with human voices, acoustic noises, commercial advertisements, and so on. To enhance the robustness of the system performance and to sharply cut the starting/ending-point of the recording, we also introduce a post-processing module whose features consist of signal duration, energy dynamics, and local variation of feature statistics. Experimental results to various input signals verify the superiority of the proposed system.

AB - This paper proposes a Gaussian mixture model (GMM)-based music discrimination system for mobile broadcasting receivers. The objective of the system is automatically archiving music signals from audio broadcasting programs that are normally mixed with human voices, acoustic noises, commercial advertisements, and so on. To enhance the robustness of the system performance and to sharply cut the starting/ending-point of the recording, we also introduce a post-processing module whose features consist of signal duration, energy dynamics, and local variation of feature statistics. Experimental results to various input signals verify the superiority of the proposed system.

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Song MS, Kang HW, Kang HG. Discrimination of music signals for mobile broadcasting receivers. 2008. Paper presented at AES 34th International Conference: New Trends in Audio for Mobile and Handheld Devices, Jeju Island, Korea, Republic of.