Presentation 2002/1/11
Self-optimized Spectral Correlation Method for Background Music Identification
Mototsugu ABE, Masayuki NISHIGUCHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a new method of detecting a known reference signal in an input signal highly corrupted by other sounds. One major application of the method is the identification of broadcast background music corrupted by speech. In this method, the reference signal is first decomposed into a number of small time-frequency components, and the maximum similarity between each component and the input is calculated. The similarities for all the components are then integrated by a voting method. Finally, the result is used to determine whether or not the reference exists in the input ; and if it exists, to determine its position. Experiments on the identification of background music and the classification of similar TV commercials have shown that this method can identify 100% of target signals with an SNR of -10dB.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Audio retrieval / Content-based retrieval / Retrieval of mixture signal / Music identification / Commercial Message Identification / correlation
Paper # 2001-PRMU-209
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Conference Information
Committee PRMU
Conference Date 2002/1/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Self-optimized Spectral Correlation Method for Background Music Identification
Sub Title (in English)
Keyword(1) Audio retrieval
Keyword(2) Content-based retrieval
Keyword(3) Retrieval of mixture signal
Keyword(4) Music identification
Keyword(5) Commercial Message Identification
Keyword(6) correlation
1st Author's Name Mototsugu ABE
1st Author's Affiliation SONY Corporation()
2nd Author's Name Masayuki NISHIGUCHI
2nd Author's Affiliation SONY Corporation
Date 2002/1/11
Paper # 2001-PRMU-209
Volume (vol) vol.101
Number (no) 569
Page pp.pp.-
#Pages 6
Date of Issue