Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation.
Pasi SaariGyörgy FazekasTuomas EerolaMathieu BarthetOlivier LartillotMark B. SandlerPublished in: IEEE Trans. Affect. Comput. (2016)
Keyphrases
- automatic music genre classification
- music retrieval
- genre classification
- semantic annotation
- music genre classification
- music information retrieval
- audio features
- audio signals
- video material
- acoustic features
- music score
- semantic context
- semantic features
- semantic indexing
- audio signal
- video annotation
- music collections
- semi automatic
- semantically annotated
- music scores
- automatic indexing
- metadata
- semantic information
- semantic web
- audio recordings
- multimedia
- metadata creation
- high level
- digital music
- audio content
- image annotation and retrieval
- active learning
- multiple information sources
- natural language
- speech music discrimination
- polyphonic music
- low level
- signal processing
- text classification
- audio visual
- cross media
- semantic concepts
- automatic image annotation