Emre Çakir

According to our database, Emre Çakir authored at least 14 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2021

Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments.

Pasi Pertilä, Emre Cakir, Aapo Hakala, Eemi Fagerlund, Tuomas Virtanen, Archontis Politis, Antti J. Eronen

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Multi-Task Regularization Based on Infrequent Classes for Audio Captioning.

Emre Çakir, Konstantinos Drossos, Tuomas Virtanen

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Deep Neural Networks for Sound Event Detection.

Emre Cakir

PhD thesis, 2019

2018

End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input.

Emre Cakir, Tuomas Virtanen

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Unsupervised adversarial domain adaptation for acoustic scene classification.

Shayan Gharib, Konstantinos Drossos, Emre Cakir, Dmitriy Serdyuk, Tuomas Virtanen

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection.

Emre Çakir, Giambattista Parascandolo, Toni Heittola, Heikki Huttunen, Tuomas Virtanen

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Robust direction estimation with convolutional neural networks based steered response power.

Pasi Pertilä, Emre Cakir

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Convolutional recurrent neural networks for bird audio detection.

Emre Cakir, Sharath Adavanne, Giambattista Parascandolo, Konstantinos Drossos, Tuomas Virtanen

Proceedings of the 25th European Signal Processing Conference, 2017

Stacked convolutional and recurrent neural networks for bird audio detection.

Sharath Adavanne, Konstantinos Drossos, Emre Cakir, Tuomas Virtanen

Proceedings of the 25th European Signal Processing Conference, 2017

Convolutional Recurrent Neural Networks for Rare Sound Event Detection.

Emre Cakir, Tuomas Virtanen

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Filterbank learning for deep neural network based polyphonic sound event detection.

Emre Cakir, Ezgi Can Ozan, Tuomas Virtanen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Polyphonic sound event detection using multi label deep neural networks.

Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Automatic recognition of environmental sound events using all-pole group delay features.

Aleksandr Diment, Emre Cakir, Toni Heittola, Tuomas Virtanen

Proceedings of the 23rd European Signal Processing Conference, 2015

Multi-label vs. combined single-label sound event detection with deep neural networks.

Emre Cakir, Toni Heittola, Heikki Huttunen, Tuomas Virtanen

Proceedings of the 23rd European Signal Processing Conference, 2015