Emre Cakir
Emre Cakir
Inscripta Oy
Verified email at inscripta.io
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
4022017
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
4022017
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
2772015
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
702017
Convolutional recurrent neural networks for rare sound event detection
E Cakır, T Virtanen
Deep Neural Networks for Sound Event Detection 12, 2019
512019
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
412017
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
352017
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
352015
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
322018
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
322016
Unsupervised adversarial domain adaptation for acoustic scene classification
S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen
arXiv preprint arXiv:1808.05777, 2018
312018
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
252016
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
172018
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
122017
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
Multi-task regularization based on infrequent classes for audio captioning
E Cakır, K Drossos, T Virtanen
arXiv preprint arXiv:2007.04660, 2020
82020
Multilabel sound event classification with neural networks
E Cakir
82014
Deep neural networks for sound event detection
E Cakir
Tampere University, 2019
32019
Musical Instrument Synthesis and Morphing in Multidimensional Latent Space Using Variational, Convolutional Recurrent Autoencoders
E «akir, T Virtanen
Audio Engineering Society Convention 145, 2018
22018
Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments
P Pertilš, E Cakir, A Hakala, E Fagerlund, T Virtanen, A Politis, A Eronen
arXiv preprint arXiv:2106.14787, 2021
2021
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