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Konstantinos Drossos
Konstantinos Drossos
Principal Scientist, Machine Learning at Nokia
Verified email at nokia.com - Homepage
Title
Cited by
Cited by
Year
Clotho: An audio captioning dataset
K Drossos, S Lipping, T Virtanen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2602020
Automated audio captioning with recurrent neural networks
K Drossos, S Adavanne, T Virtanen
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
1372017
Convolutional recurrent neural networks for bird audio detection
S Adavanne, G Parascandolo, K Drossos, T Virtanen
arXiv preprint arXiv:1703.02317, 2017
117*2017
Stacked convolutional and recurrent neural networks for music emotion recognition
M Malik, S Adavanne, K Drossos, T Virtanen, D Ticha, R Jarina
arXiv preprint arXiv:1706.02292, 2017
792017
Stacked convolutional and recurrent neural networks for bird audio detection
S Adavanne, K Drossos, E Çakir, T Virtanen
2017 25th European signal processing conference (EUSIPCO), 1729-1733, 2017
662017
Unsupervised adversarial domain adaptation for acoustic scene classification
S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen
arXiv preprint arXiv:1808.05777, 2018
562018
Monaural singing voice separation with skip-filtering connections and recurrent inference of time-frequency mask
SI Mimilakis, K Drossos, JF Santos, G Schuller, T Virtanen, Y Bengio
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
502018
Sound event detection with depthwise separable and dilated convolutions
K Drossos, SI Mimilakis, S Gharib, Y Li, T Virtanen
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
432020
Unsupervised adversarial domain adaptation based on the wasserstein distance for acoustic scene classification
K Drossos, P Magron, T Virtanen
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
412019
Sound event detection via dilated convolutional recurrent neural networks
Y Li, M Liu, K Drossos, T Virtanen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
402020
A recurrent encoder-decoder approach with skip-filtering connections for monaural singing voice separation
SI Mimilakis, K Drossos, T Virtanen, G Schuller
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
372017
Deep neural networks for dynamic range compression in mastering applications
SI Mimilakis, K Drossos, T Virtanen, G Schuller
Audio Engineering Society Convention 140, 2016
352016
Accessible games for blind children, empowered by binaural sound
K Drossos, N Zormpas, G Giannakopoulos, A Floros
Proceedings of the 8th ACM international conference on pervasive …, 2015
352015
Affective acoustic ecology: Towards emotionally enhanced sound events
K Drossos, A Floros, NG Kanellopoulos
Proceedings of the 7th Audio Mostly Conference: A Conference on Interaction …, 2012
352012
Coala: Co-aligned autoencoders for learning semantically enriched audio representations
X Favory, K Drossos, T Virtanen, X Serra
arXiv preprint arXiv:2006.08386, 2020
342020
Crowdsourcing a dataset of audio captions
S Lipping, K Drossos, T Virtanen
arXiv preprint arXiv:1907.09238, 2019
332019
MaD TwinNet: Masker-denoiser architecture with twin networks for monaural sound source separation
K Drossos, SI Mimilakis, D Serdyuk, G Schuller, T Virtanen, Y Bengio
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
292018
Enriched music representations with multiple cross-modal contrastive learning
A Ferraro, X Favory, K Drossos, Y Kim, D Bogdanov
IEEE Signal Processing Letters 28, 733-737, 2021
232021
Investigating the Impact of Sound Angular Position on the Listener Affective State
K Drossos, A Floros, A Giannakoulopoulos, N Kanellopoulos
Transactions on Affective Computing 6 (1), 27-42, 2015
222015
Multi-task regularization based on infrequent classes for audio captioning
E Çakır, K Drossos, T Virtanen
arXiv preprint arXiv:2007.04660, 2020
212020
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Articles 1–20