• DocumentCode
    23917
  • Title

    AutoMashUpper: Automatic Creation of Multi-Song Music Mashups

  • Author

    Davies, Matthew E. P. ; Hamel, Philippe ; Yoshii, Kazutomo ; Goto, Misako

  • Author_Institution
    Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba, Japan
  • Volume
    22
  • Issue
    12
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1726
  • Lastpage
    1737
  • Abstract
    In this paper we present a system, AutoMashUpper, for making multi-song music mashups. Central to our system is a measure of “mashability” calculated between phrase sections of an input song and songs in a music collection. We define mashability in terms of harmonic and rhythmic similarity and a measure of spectral balance. The principal novelty in our approach centres on the determination of how elements of songs can be made fit together using key transposition and tempo modification, rather than based on their unaltered properties. In this way, the properties of two songs used to model their mashability can be altered with respect to transformations performed to maximize their perceptual compatibility. AutoMashUpper has a user interface to allow users to control the parameterization of the mashability estimation. It allows users to define ranges for key shifts and tempo as well as adding, changing or removing elements from the created mashups. We evaluate AutoMashUpper by its ability to reliably segment music signals into phrase sections, and also via a listening test to examine the relationship between estimated mashability and user enjoyment.
  • Keywords
    information retrieval; music; AutoMashUpper; automatic creation; harmonic similarity; key transposition; mashability estimation; mashability measurement; multisong music Mashups; music collection; perceptual compatibility; phrase sections; rhythmic similarity; tempo modification; Estimation; Feature extraction; Harmonic analysis; IEEE transactions; Mashups; Multiple signal classification; Spectrogram; Audio user interfaces; creative MIR; music remixing; music signal processing;
  • fLanguage
    English
  • Journal_Title
    Audio, Speech, and Language Processing, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    2329-9290
  • Type

    jour

  • DOI
    10.1109/TASLP.2014.2347135
  • Filename
    6876193