Projects per year
Abstract
We re-implement and test two state-of-the-art systems
for automatic music genre classification;
but unlike past works in this area,
we look closer than ever before at their behavior.
First, we look at specific instances where
each system consistently applies the same wrong label
across multiple trials of cross-validation.
Second, we test the robustness of each system
to spectral equalization.
Finally, we test how well human subjects recognize
the genres of music excerpts composed by
each system to be highly genre representative.
Our results suggest that neither high-performing system
has a capacity to recognize music genre.
for automatic music genre classification;
but unlike past works in this area,
we look closer than ever before at their behavior.
First, we look at specific instances where
each system consistently applies the same wrong label
across multiple trials of cross-validation.
Second, we test the robustness of each system
to spectral equalization.
Finally, we test how well human subjects recognize
the genres of music excerpts composed by
each system to be highly genre representative.
Our results suggest that neither high-performing system
has a capacity to recognize music genre.
Original language | English |
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Title of host publication | Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies |
Volume | 2012 |
Publisher | Association for Computing Machinery |
Publication date | 2012 |
Pages | 69-74 |
ISBN (Print) | 978-1-4503-1591-3 |
DOIs | |
Publication status | Published - 2012 |
Event | ACM Multimedia 2012: Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies - Nara, Japan Duration: 29 Oct 2012 → 2 Nov 2012 |
Conference
Conference | ACM Multimedia 2012 |
---|---|
Country/Territory | Japan |
City | Nara |
Period | 29/10/2012 → 02/11/2012 |
Series | ACM Multimedia |
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Fingerprint
Dive into the research topics of 'Two Systems for Automatic Music Genre Recognition: What Are They Really Recognizing?'. Together they form a unique fingerprint.-
Greedy Sparse Approximation and the Automatic Description of Audio and Music Data
Sturm, B. L.
Technology and Production Independent Postdoc Center for Independent Research
01/01/2012 → …
Project: Research
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CoSound
Christensen, M. G., Tan, Z., Jensen, S. H. & Sturm, B. L.
01/01/2012 → 31/12/2015
Project: Research
Activities
- 1 Talks and presentations in private or public companies
-
The Crisis of Evaluation in Music Information Retrieval
Bob L. Sturm (Lecturer)
13 Nov 2013Activity: Talks and presentations › Talks and presentations in private or public companies
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