Name
Abstract | ||
|---|---|---|
This article describes the automatic classification of emotions through five novel feature descriptors based on the "cifras" of the songs. A "cifra" is a document that contains the harmonic structure and harmonic progression a song. In order to evaluate the proposed feature sets, we have created a novel database, namely the Latin Music Cifras Mood Database (LMCMD). This database was created manually by the authors by querying different websites for the "cifras" of songs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SMC.2015.296 | 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS |
Keywords | Field | DocType |
Music Information Retrieval, Music Emotion Classification, Latin music | Mood,Music information retrieval,Harmonic progression,Emotion recognition,Computer science,Support vector machine,Emotion classification,Speech recognition,Harmonic structure,Artificial intelligence,Natural language processing,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andre L. Przybysz | 1 | 0 | 0.68 |
| Ricardo Corassa | 2 | 0 | 0.34 |
| Carolina L. dos Santos | 3 | 0 | 0.34 |
| Carlos Nascimento Silla Jr. | 4 | 151 | 15.85 |