Music Cut and Paste: A Personalized Musical Medley Generating System

نویسندگان

  • I-Ting Liu
  • Yin-Tzu Lin
  • Ja-Ling Wu
چکیده

A musical medley is a piece of music that is composed of parts of existing pieces. Manually creating medley is time consuming because it is not easy to find out proper clips to put in succession and seamlessly connect them. In this work, we propose a framework for creating personalized music medleys from users’ music collection. Unlike existing similar works in which only low-level features are used to select candidate clips and locate possible transition points among clips, we take song structures and song phrasing into account during medley creation. Inspired by the musical dice game, we treat the medley generation process as an audio version of musical dice game. That is, once the analysis on the songs of user collection has been done, the system is able to generate various medleys with different probabilities. This flexibility brings us the ability to create medleys according to the user-specified conditions, such as the medley structure or some must-use clips. The preliminary subjective evaluations showed that the proposed system is effective in selecting connectable clips that preserved chord progression structure. Besides, connecting the clips at phrase boundaries acquired more user preference than previous works did.

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تاریخ انتشار 2013