• The Journal of the Acoustical Society of Korea
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• v.23 no.6
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• pp.488-496
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• 2004

This paper describes a music information retrieval system which uses humming as the key for retrieval Humming is an easy way for the user to input a melody. However, there are several problems with humming that degrade the retrieval of information. One problem is a human factor. Sometimes people do not sing accurately, especially if they are inexperienced or unaccompanied. Another problem arises from signal processing. Therefore, a music information retrieval method should be sufficiently robust to surmount various humming errors and signal processing problems. A retrieval system has to extract pitch from the user's humming. However pitch extraction is not perfect. It often captures half or double pitches. even if the extraction algorithms take the continuity of the pitch into account. Considering these problems. we propose a system that takes multiple pitch candidates into account. In addition to the frequencies of the pitch candidates. the confidence measures obtained from their powers are taken into consideration as well. We also propose the use of an algorithm with three dimensions that is an extension of the conventional DP algorithm, so that multiple pitch candidates can be treated. Moreover in the proposed algorithm. DP paths are changed dynamically to take deltaPitches and IOIratios of input and reference notes into account in order to treat notes being split or unified. We carried out an evaluation experiment to compare the proposed system with a conventional system. From the experiment. the proposed method gave better retrieval performance than the conventional system.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.502-504
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• 2005

본 논문에서는 수사법을 이용한 대중가요 분석법을 제시한다. 분석목표는 가사와 악곡의 수사구조 파악이다. 그 결과 가요의 가사와 곡이 어떻게 대응하여 전개되는지 확인해 볼 수 있었다. 이를 바탕으로 (1) 가요의 주제 가사와 선율을 빠른 시간 안에 찾아낼 수 있고 (2) 가요의 효과적인 분류와 검색, 또한 (3) 곡의 충실성 또는 유행가능성을 예측해보는 데에도 활용될 수 있을 것이다.