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Document
Data-Driven Sound Track Generation

Authors: Meinard Müller and Jonathan Driedger

Published in: Dagstuhl Follow-Ups, Volume 3, Multimodal Music Processing (2012)


Abstract
Background music is often used to generate a specific atmosphere or to draw our attention to specific events. For example in movies or computer games it is often the accompanying music that conveys the emotional state of a scene and plays an important role for immersing the viewer or player into the virtual environment. In view of home-made videos, slide shows, and other consumer-generated visual media streams, there is a need for computer-assisted tools that allow users to generate aesthetically appealing music tracks in an easy and intuitive way. In this contribution, we consider a data-driven scenario where the musical raw material is given in form of a database containing a variety of audio recordings. Then, for a given visual media stream, the task consists in identifying, manipulating, overlaying, concatenating, and blending suitable music clips to generate a music stream that satisfies certain constraints imposed by the visual data stream and by user specifications. It is our main goal to give an overview of various content-based music processing and retrieval techniques that become important in data-driven sound track generation. In particular, we sketch a general pipeline that highlights how the various techniques act together and come into play when generating musically plausible transitions between subsequent music clips.

Cite as

Meinard Müller and Jonathan Driedger. Data-Driven Sound Track Generation. In Multimodal Music Processing. Dagstuhl Follow-Ups, Volume 3, pp. 175-194, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)


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@InCollection{muller_et_al:DFU.Vol3.11041.175,
  author =	{M\"{u}ller, Meinard and Driedger, Jonathan},
  title =	{{Data-Driven Sound Track Generation}},
  booktitle =	{Multimodal Music Processing},
  pages =	{175--194},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-37-8},
  ISSN =	{1868-8977},
  year =	{2012},
  volume =	{3},
  editor =	{M\"{u}ller, Meinard and Goto, Masataka and Schedl, Markus},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DFU.Vol3.11041.175},
  URN =		{urn:nbn:de:0030-drops-34725},
  doi =		{10.4230/DFU.Vol3.11041.175},
  annote =	{Keywords: Sound track, content-based retrieval, audio matching, time-scale modification, warping, tempo, beat tracking, harmony}
}
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