MusicMixer: Automatic DJ system considering beat and latent topic similarity

Tatsunori Hirai, Hironori Doi, Shigeo Morishima

    研究成果: Conference contribution

    1 引用 (Scopus)

    抜粋

    This paper presents MusicMixer, an automatic DJ system that mixes songs in a seamless manner. MusicMixer mixes songs based on audio similarity calculated via beat analysis and latent topic analysis of the chromatic signal in the audio. The topic represents latent semantics about how chromatic sounds are generated. Given a list of songs, a DJ selects a song with beat and sounds similar to a specific point of the currently playing song to seamlessly transition between songs. By calculating the similarity of all existing pairs of songs, the proposed system can retrieve the best mixing point from innumerable possibilities. Although it is comparatively easy to calculate beat similarity from audio signals, it has been difficult to consider the semantics of songs as a human DJ considers. To consider such semantics, we propose a method to represent audio signals to construct topic models that acquire latent semantics of audio. The results of a subjective experiment demonstrate the effectiveness of the proposed latent semantic analysis method.

    元の言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    出版者Springer Verlag
    ページ698-709
    ページ数12
    9516
    ISBN(印刷物)9783319276700
    DOI
    出版物ステータスPublished - 2016
    イベント22nd International Conference on MultiMedia Modeling, MMM 2016 - Miami, United States
    継続期間: 2016 1 42016 1 6

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    9516
    ISSN(印刷物)03029743
    ISSN(電子版)16113349

    Other

    Other22nd International Conference on MultiMedia Modeling, MMM 2016
    United States
    Miami
    期間16/1/416/1/6

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • これを引用

    Hirai, T., Doi, H., & Morishima, S. (2016). MusicMixer: Automatic DJ system considering beat and latent topic similarity. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 9516, pp. 698-709). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9516). Springer Verlag. https://doi.org/10.1007/978-3-319-27671-7_59