Emre Cakir
Emre Cakir
Inscripta Oy
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Title
Cited by
Cited by
Year
Convolutional recurrent neural networks for polyphonic sound event detection
E Cakir, G Parascandolo, T Heittola, H Huttunen, T Virtanen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1291†…, 2017
2862017
Convolutional recurrent neural networks for polyphonic sound event detection
E Cakir, G Parascandolo, T Heittola, H Huttunen, T Virtanen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (6), 1291†…, 2017
2862017
Polyphonic sound event detection using multi label deep neural networks
E Cakir, T Heittola, H Huttunen, T Virtanen
2015 international joint conference on neural networks (IJCNN), 1-7, 2015
2312015
Convolutional recurrent neural networks for bird audio detection
E Cakir, S Adavanne, G Parascandolo, K Drossos, T Virtanen
2017 25th European Signal Processing Conference (EUSIPCO), 1744-1748, 2017
502017
Convolutional recurrent neural networks for rare sound event detection
E Cakır, T Virtanen
Proc. of DCASE 2017 workshop, 2019
412019
Stacked convolutional and recurrent neural networks for bird audio detection
S Adavanne, K Drossos, E «akir, T Virtanen
2017 25th European signal processing conference (EUSIPCO), 1729-1733, 2017
312017
Multi-label vs. combined single-label sound event detection with deep neural networks
E Cakir, T Heittola, H Huttunen, T Virtanen
2015 23rd European signal processing conference (EUSIPCO), 2551-2555, 2015
292015
Filterbank learning for deep neural network based polyphonic sound event detection
E Cakir, EC Ozan, T Virtanen
2016 International Joint Conference on Neural Networks (IJCNN), 3399-3406, 2016
232016
Robust direction estimation with convolutional neural networks based steered response power
P Pertilš, E Cakir
2017 IEEE International Conference on Acoustics, Speech and Signal†…, 2017
222017
Domestic audio tagging with convolutional neural networks
E Cakır, T Heittola, T Virtanen
IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and†…, 2016
212016
End-to-end polyphonic sound event detection using convolutional recurrent neural networks with learned time-frequency representation input
E «akir, T Virtanen
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
182018
The machine learning approach for analysis of sound scenes and events
T Heittola, E «akır, T Virtanen
Computational Analysis of Sound Scenes and Events, 13-40, 2018
142018
Unsupervised adversarial domain adaptation for acoustic scene classification
S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen
arXiv preprint arXiv:1808.05777, 2018
132018
Automatic recognition of environmental sound events using all-pole group delay features
A Diment, E Cakir, T Heittola, T Virtanen
2015 23rd European signal processing conference (EUSIPCO), 729-733, 2015
122015
Acoustic scene classification using convolutional recurrent neural networks
H Jallet, E Cakır, T Virtanen
the Detection and Classification of Acoustic Scenes and Events (DCASE), 1-5, 2017
92017
Multilabel sound event classification with neural networks
E Cakir
62014
Deep neural networks for sound event detection
E Cakir
Tampere University, 2019
12019
Multi-task Regularization Based on Infrequent Classes for Audio Captioning
E «akır, K Drossos, T Virtanen
arXiv preprint arXiv:2007.04660, 2020
2020
Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders
E «akir, T Virtanen
Audio Engineering Society Convention 145, 2018
2018
2017 Index IEEE/ACM Transactions on Audio, Speech, and Language Processing Vol. 25
J Abeber, J Abel, J Abeser, TD Abhayapala, V Abrol, MO Ahmad, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (12), 2463, 2017
2017
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