Name
Abstract | ||
|---|---|---|
Nowadays, a large part of all music ever recorded is digitally available and due to MP3 already ten thousands of songs can be carried around on a mobile device. Intelligent automatic song selection is more and more required alternatively to random selection or manual playlist generation. We propose a system, that generates playlists including songs similar to accepted ones, discarding songs similar to rejected ones, where similar refers to timbre. Additional adaptivity is achieved with a user-adaptive distance function which in our case requires modeling features separately. After a seed-song (which is the first accepted song) is given by the user, the distance function is used by a song selection strategy to select songs. Minimal user feedback is collected with a skip button that is pressed to directly jump to the next song and explicitly reject the current one while acceptance is implicitly given by listening to a song. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICASSP.2007.366658 | 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS |
Keywords | Field | DocType |
playlist generation, user adaptation, skipping behavior, music similarity, music information retrieval | Music information retrieval,Cd recording,Computer science,Active listening,Metric (mathematics),Speech recognition,Mobile device,Jump,Timbre,Sound recording and reproduction | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.35 |
References | Authors | |
11 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Gärtner | 1 | 17 | 2.73 |
| Florian Kraft | 2 | 48 | 5.25 |
| Thomas Schaaf | 3 | 364 | 44.96 |