A Content-Based Music Retrieval System Using Multidimensional Index of Time-Sequenced Representative Melodies from Music Database

Ku, Kyong-I; Won, Jae-Yong; Park, Jaehyun; Kim, Yoo-Sung

doi:10.1007/978-3-540-30204-9_17

Cited by 2 publications

(2 citation statements)

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“…Table 1 show that the voice duration plays an important role in impact of the retrieval accuracy, 10s is the best duration to balance the accuracy and time consume. Paper [18] using 8-demensional time-sequenced representative melody index to retrieval the music, the average precision of top 10 is 81%.…”

Section: Database Constructionmentioning

confidence: 99%

“…Also they adopted relevance feedback mechanism based on genetic algorithm. Jae-Yong Won et al [17] [18] proposed a serial of methods to improve the retrieval performance, they described a content-based music retrieval system in which the representative melody index is systemically constructed and used to support quick and appropriate retrievals to users' melody queries; by using the proposed system, it could saved up to 65% of index space.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel MIR framework and application with automatic voice processing, database construction and fuzzy matching

Wang

et al. 2010

2010 the 2nd International Conference on Computer and Automation Engineering (ICCAE)

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In this paper, we present a music information retrieval system which enables users to retrieve music by vocal query. Three essential components are query processing, database construction by MIDI and an approximate search engine. For query processing, we have achieved a real-time and robust voice-to-melody converter. For database construction, proposed MIDI analysis methods to obtain music melody features from MIDI files automatically. In order to match query with melodies in database, we extend an existing search engine into a fast approximate melodic matching engine. We have carried out extensive experiments on the prototype system to evaluate the performance. The results show that the proposed three components are achieving good performance.

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Section: Database Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%