Music Paste: Concatenating Music Clips based on Chroma and Rhythm Features

نویسندگان

  • Heng-Yi Lin
  • Yin-Tzu Lin
  • Ming-Chun Tien
  • Ja-Ling Wu
چکیده

In this paper, we provide a tool for automatically choosing appropriate music clips from a given audio collection and properly combining the chosen clips. To seamlessly concatenate two different music clips without causing any audible defect is really a hard nut to crack. Borrowing the idea from the musical dice game and the DJ’s strategy and considering psychoacoustics, we employ the currently available audio analysis and editing techniques to paste music sounded as pleasant as possible. Besides, we conduct subjective evaluations on the correlation between pasting methods and the auditory quality of combined clips. The experimental results show that the automatically generated music pastes are acceptable to most of the evaluators. The proposed system can be used to generate lengthened or shortened background music and dancing suite, which is useful for some audio-assisted multimedia applications.

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تاریخ انتشار 2009