Music Genre Classification Using MIDI and Audio Features. (4th January 2007)
- Record Type:
- Journal Article
- Title:
- Music Genre Classification Using MIDI and Audio Features. (4th January 2007)
- Main Title:
- Music Genre Classification Using MIDI and Audio Features
- Authors:
- Cataltepe Cataltepe, Zehra Zehra
Yaslan Yaslan, Yusuf Yusuf
Sonmez Sonmez, Abdullah Abdullah - Other Names:
- Tzanetakis Tzanetakis George George Academic Editor.
- Abstract:
- Abstract : We report our findings on using MIDI files and audio features from MIDI, separately and combined together, for MIDI music genre classification. We use McKay and Fujinaga's 3-root and 9-leaf genre data set. In order to compute distances between MIDI pieces, we use normalized compression distance (NCD). NCD uses the compressed length of a string as an approximation to its Kolmogorov complexity and has previously been used for music genre and composer clustering. We convert the MIDI pieces to audio and then use the audio features to train different classifiers. MIDI and audio from MIDI classifiers alone achieve much smaller accuracies than those reported by McKay and Fujinaga who used not NCD but a number of domain-based MIDI features for their classification. Combining MIDI and audio from MIDI classifiers improves accuracy and gets closer to, but still worse, accuracies than McKay and Fujinaga's. The best root genre accuracies achieved using MIDI, audio, and combination of them are 0.75, 0.86, and 0.93, respectively, compared to 0.98 of McKay and Fujinaga. Successful classifier combination requires diversity of the base classifiers. We achieve diversity through using certain number of seconds of the MIDI file, different sample rates and sizes for the audio file, and different classification algorithms.
- Is Part Of:
- EURASIP journal on advances in signal processing. Volume 2007(2007)
- Journal:
- EURASIP journal on advances in signal processing
- Issue:
- Volume 2007(2007)
- Issue Display:
- Volume 2007, Issue 2007 (2007)
- Year:
- 2007
- Volume:
- 2007
- Issue:
- 2007
- Issue Sort Value:
- 2007-2007-2007-0000
- Page Start:
- Page End:
- Publication Date:
- 2007-01-04
- Subjects:
- Signal processing -- Periodicals
Traitement du signal
Signal processing
Periodicals
621.3822 - Journal URLs:
- https://asp-eurasipjournals.springeropen.com/ ↗
http://link.springer.com/ ↗
http://www.hindawi.com/journals/asp/ ↗ - DOI:
- 10.1155/2007/36409 ↗
- Languages:
- English
- ISSNs:
- 1687-6172
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11249.xml