45 citations · 195 across the 44 of their papers we have counts for
6 papers · 1 filter
Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask
Stylianos Ioannis Mimilakis, Konstantinos Drossos, João F. Santos +3
Singing voice separation based on deep learning relies on the usage of time-frequency masking. In many cases the masking process is not a learnable function or is not encapsulated…
A Recurrent Encoder-Decoder Approach with Skip-filtering Connections for Monaural Singing Voice Separation
Stylianos Ioannis Mimilakis, Konstantinos Drossos, Tuomas Virtanen +1
The objective of deep learning methods based on encoder-decoder architectures for music source separation is to approximate either ideal time-frequency masks or spectral representa…
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…
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…
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…
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…