Name
Abstract | ||
|---|---|---|
The aim of this work is to predict the genres of songs by using machine learning techniques. For this purpose, feature extraction is done by using signal processing techniques, then machine learning algorithms arc applied with those features to do a multiclass classification for music genres. |
Year | Venue | Keywords |
|---|---|---|
2017 | Signal Processing and Communications Applications Conference | Music Genre Classification,Machine Learning,Signal Processing,Data Mining,Music Information Retrieval |
Field | DocType | ISSN |
Mel-frequency cepstrum,Signal processing,Music information retrieval,Multiple signal classification,Pattern recognition,Computer science,Speech recognition,Feature extraction,Artificial intelligence,Machine learning,Multiclass classification | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Karatana | 1 | 0 | 0.34 |
| Oktay Yildiz | 2 | 6 | 2.50 |