In this work, we investigate how illuminant estimation techniques can be improved, taking into account automatically extracted information about the content of the images. We consi...
A central problem in music information retrieval is finding suitable representations which enable efficient and accurate computation of musical similarity and identity. Low leve...
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
This paper investigates the use of speech-to-text methods for assigning an emotion class to a given speech utterance. Previous work shows that an emotion extracted from text can c...
Florian Metze, Anton Batliner, Florian Eyben, Tim ...
In this paper the capability of using self-organising neural maps (SOM) as music style classifiers of musical fragments is studied. From MIDI files, the monophonic melody track i...