most citedStacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition

45 citations · 45 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2019

Crowdsourcing a Dataset of Audio Captions

Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen

Audio captioning is a novel field of multi-modal translation and it is the task of creating a textual description of the content of an audio signal (e.g. "people talking in a big r…

cs.SD201745 cited

Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition

Miroslav Malik, Sharath Adavanne, Konstantinos Drossos +3

This paper studies the emotion recognition from musical tracks in the 2-dimensional valence-arousal (V-A) emotional space. We propose a method based on convolutional (CNN) and recu…

cs.SD2017

Stacked Convolutional and Recurrent Neural Networks for Bird Audio Detection

Sharath Adavanne, Konstantinos Drossos, Emre Çakır +1

This paper studies the detection of bird calls in audio segments using stacked convolutional and recurrent neural networks. Data augmentation by blocks mixing and domain adaptation…

cs.SD2017

Automated Audio Captioning with Recurrent Neural Networks

Konstantinos Drossos, Sharath Adavanne, Tuomas Virtanen

We present the first approach to automated audio captioning. We employ an encoder-decoder scheme with an alignment model in between. The input to the encoder is a sequence of log m…

cs.SD2017

Convolutional Recurrent Neural Networks for Bird Audio Detection

EmreÇakır, Sharath Adavanne, Giambattista Parascandolo +2

Bird sounds possess distinctive spectral structure which may exhibit small shifts in spectrum depending on the bird species and environmental conditions. In this paper, we propose…