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Uenoyama et al., 2018 - Google Patents

Personalized Impression-Based Music Information Retrieval Method

Uenoyama et al., 2018

Document ID
5279019012584189913
Author
Uenoyama Y
Ogino A
Publication year
Publication venue
2018 5th International Conference on Computational Science/Intelligence and Applied Informatics (CSII)

External Links

Snippet

Along with the spread of music distribution service, there are a growing interest in music information retrieval (MIR) systems. This research proposed a music search method appropriate to more suitable impression for impression by personalizing sound model used …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/3074—Audio data retrieval
    • G06F17/30755—Query formulation specially adapted for audio data retrieval
    • G06F17/30761—Filtering; personalisation, e.g. querying making use of user profiles
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    • G06F17/30749—Audio data retrieval using information manually generated or using information not derived from the audio data, e.g. title and artist information, time and location information, usage information, user ratings
    • G—PHYSICS
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