"Reinventing The Wheel": A Novel Approach to Music Player Interfaces
Sprache des Titels:
Englisch
Original Kurzfassung:
We present a novel interface to (portable) music players that benefits
from intelligently structured collections of audio files. For
structuring, we calculate similarities between every pair of songs and
model a Travelling Salesman Problem (TSP) that is solved to obtain a
playlist (i.e. the track ordering during playback) where the average
distance between consecutive pieces of music is minimal according to the
similarity measure.
The similarities are determined using both audio signal analysis of the
music tracks and web-based artist profile comparison. Indeed, we will
show how to enhance the quality of the well-established methods based on
audio signal processing with features derived from web pages of music
artists.
Using a TSP allows for creating circular playlists that can be easily
browsed with a wheel as input device. We investigate the usefulness of
four different TSP algorithms for this purpose. For evaluating the
quality of the generated playlists, we apply a number of quality
measures to two real-world music collections. It turns out that the
proposed combination of audio and text based similarity yields better
results than the initial approach based on audio data only.
We implemented an audio player as Java applet to demonstrate the
benefits of our approach. Furthermore, we present the results of a small
user study conducted to evaluate the quality of the generated playlists.
Forschungs-