• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.639-645
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• 2019

This paper proposes a salient chromagram components extraction method based on the temporal discrete cosine transform of a chromagram block to improve cover song retrieval accuracy. The proposed salient chromagram emphasizes tonal contents of music, which are well-preserved between an original song and its cover version, while reducing the effects of timbre difference. We apply the proposed salient chromagram extraction method as a preprocessing step for the Fourier-transform based cover song matching. Experiments on two cover song datasets confirm that the proposed salient chromagram improves the cover song search accuracy.

• Journal of Multimedia Information System
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• v.9 no.1
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• pp.69-72
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• 2022

Extraction of a salient chromagram is utmost important for cover song identification. Cover song refers to a live performance, a remix, or a new recording of a previously recorded track. This paper utilizes the Savitzky-Golay filters in chromagram extraction for suppressing timber-related components of a music signal, which is not preserved while generating cover songs. By removing the timber-related components, the discriminative tonal components, which are conducive for cover song identification, are emphasized in chromagram. Experiments on cover song identification over two datasets show that the Savitzky-Golay filters are more effective in reducing timber effects in chromagram than other types of filters.

• The Journal of the Acoustical Society of Korea
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• v.38 no.3
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• pp.314-319
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• 2019

Computing chromagram similarity is indispensable in constructing cover song identification system. This paper proposes a code-based chromagram similarity to reduce the computational and the storage costs for cover song identification. By learning a song-specific codebook, a chromagram sequence is converted into a code sequence, which results in the reduction of the feature storage cost. We build a lookup table over the learned codebooks to compute chromagram similarity efficiently. Experiments on two music datasets were performed to compare the proposed code-based similarity with the conventional one in terms of cover song search accuracy, feature storage, and computational cost.

• The Journal of the Acoustical Society of Korea
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• v.43 no.2
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• pp.200-206
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• 2024

Computing music similarity is an indispensable component in developing music search service. This paper proposes a relevance weight of each chromagram vector for cover song identification in computing a music similarity function in order to boost identification accuracy. We derive a music similarity function using the relevance weight based on the probabilistic relevance model, where higher relevance weights are assigned to less frequently-occurring discriminant chromagram vectors while lower weights to more frequently-occurring ones. Experimental results performed on two cover music datasets show that the proposed music similarity improves the cover song identification performance.

• Korean Journal of Pharmacognosy
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• v.10 no.1
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• pp.23-25
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• 1979

A trace amount of nicotine, main constituent in tobacco, contaminated in coffee, was identified by the T.L.C method. The Eastman chromagram plate was used and determined with the linear scanning by transmission method. It was possible to identify nicotine in coffee beverage regardless of types of tobacco. Ten micrograms of nicotine could be determined in a cup of coffee (75ml), which was acidified with hydrochloric acid.

• Annual Conference of KIPS
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• 2010.11a
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• pp.732-735
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• 2010

본 연구에서는 음악 데이터 베이스에서 노래의 특정 구간과 가장 유사한 구간을 검색하는 시스템을 제안한다. 제안된 시스템에서는 음악을 다차원 시계열 데이터로 간주하고, 음악의 조성 차이 및 템포(tempo) 차이를 고려한 음악의 유사도 계산 방법을 사용한다. 유사도 계산의 전처리 단계에서 조성 차이를 보정하고, 비트(beat)를 검출하며, 추출된 크로마그램(chromagram)을 검출된 비트와 동기화 하여 평균한다. 이후, 동적 시간 왜곡(DTW; dynamic time warping)을 사용하여 두 구간사이의 유사도를 계산한 후 계산된 유사도 순서로 정렬된 검색 결과를 출력한다. 사용자는 제안된 시스템을 사용하여 선택 구간 유사도 검색과 자동 유사 검색 결과로 도출된 구간 쌍을 검토하여 유사 구간을 보다 쉽게 찾을 수 있다.