Talks and Poster Presentations (with Proceedings-Entry):
T. Lidy, A. Rauber, A. Pertusa, J. Iñesta:
"MIREX 2007: Combining Audio And Symbolic Descriptors For Music Classification From Audio";
Poster: MIREX - Music Information Retrieval Evaluation eXchange,
- 2007-09-27; in: "MIREX 2007",
Recent research in music genre classification hints at a
glass ceiling being reached using timbral audio features.
To overcome this, the combination of multiple different
feature sets bearing diverse characteristics is needed. We
propose a new approach to extend the scope of the features:
We transcribe audio data into a symbolic form using
a transcription system, extract symbolic descriptors from
that representation and combine them with audio features.
With this method, we are able to surpass the glass ceiling
and to further improve music genre classification. In this
work, the methodology of the system presented in  is
described and evaluated.
MIREX, music information retrieval, genre classification, audio features, symbolic descriptors
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.