activity
20192022
most citedDeep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms

1 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2022

On the Role of Visual Context in Enriching Music Representations

Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan

Human perception and experience of music is highly context-dependent. Contextual variability contributes to differences in how we interpret and interact with music, challenging the…

eess.SP20221 cited

Multimodal Estimation of Change Points of Physiological Arousal in Drivers

Kleanthis Avramidis, Tiantian Feng, Digbalay Bose +1

Detecting unsafe driving states, such as stress, drowsiness, and fatigue, is an important component of ensuring driving safety and an essential prerequisite for automatic intervent…

cs.SD20221 cited

Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation

Kleanthis Avramidis, Christos Garoufis, Athanasia Zlatintsi +1

The study of Music Cognition and neural responses to music has been invaluable in understanding human emotions. Brain signals, though, manifest a highly complex structure that make…

cs.SD20211 cited

Deep Convolutional and Recurrent Networks for Polyphonic Instrument Classification from Monophonic Raw Audio Waveforms

Kleanthis Avramidis, Agelos Kratimenos, Christos Garoufis +2

Sound Event Detection and Audio Classification tasks are traditionally addressed through time-frequency representations of audio signals such as spectrograms. However, the emergenc…

cs.LG2019

Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music

Agelos Kratimenos, Kleanthis Avramidis, Christos Garoufis +2

Instrument classification is one of the fields in Music Information Retrieval (MIR) that has attracted a lot of research interest. However, the majority of that is dealing with mon…