| |
Using Natural Language Input and Audio Analysis for a Human-oriented
MIR System
By: Stephan Baumann, Andreas Klüter, and Marie Norlien
(2002)
Proceedings of WEDELMUSIC, the International Conference
on Web Delivering of Music, Darmstadt, Germany.
Abstract: In this paper
we will present a MIR (Music Information Retrieval) system
using natural language as input for human-oriented queries
to large-scale music collections, applicable in web databases,
cd-chargers for cars, or mobile services. The outlined system
is a full-fledged architecture combining state-of-the-art
approaches from the fields of natural language understanding
including phonetic matching, automatic analysis of audio data
for the purpose of meta tag construction, content-based classification
of audio and music ontologies as a backbone for the representation
of musical knowledge. On top of this architecture different
prototypes for industrial applications are described including
first results of real-life field tests. This work has been
performed at the German Research Center for AI and the authors
spin-off company, the sonicson GmbH.
 |
803 KB |
BibTeX entry:
@inproceedings{BaumannKN02,
year = {2002},
author = {{Baumann}, Stephan and {Kl\"{u}ter}, Andreas
and {Norlien}, Marie},
title = {Using Natural Language Input and Audio Analysis for
a Human-Oriented {MIR} System},
booktitle = {Proceedings of {W}edelmusic, the International
Conference on Web Delivering of Music},
address = {Darmstadt, Germany}}
|
|
