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AUTOMATIC MUSICAL THUMBNAILING BASED ON AUDIO OBJECT LOCALIZATION AND ITS EVALUATION

Full Paper at IEEE Xplore

Music Signal Processing

Presented by: Hiroshi Saruwatari, Author(s): Hiroyuki Nawata, Noriyoshi Kamado, Hiroshi Saruwatari, Kiyohiro Shikano, Nara Institute of Science and Technology, Japan

In this paper, to automatically generate musical thumbnails that contain the main part of the original tune, we propose a new estimation method for identifying structure changes in stereo tunes based on localization information. The proposed method can estimate the main parts of a musical tune by analyzing the specific timing when localization information changes under the assumption that the changing time of the localization approximately corresponds to the timing of the musical structure change. We evaluate the effectiveness of the proposed method by objective and subjective assessments. The experimental results show that the proposed method is effective in automating musical structure analysis for generating musical thumbnails.

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  Lecture Information

Recorded: 2011-05-24 15:05 - 15:25, Club H
Added: 8. 6. 2011 23:44
Number of views: 12
Video resolution: 1024x576 px, 512x288 px
Video length: 0:24:48
Audio track: MP3 [8.48 MB], 0:24:48