Tampere University of Technology

TUTCRIS Research Portal

Emre Cakir

  1. 2017
  2. E-pub ahead of print

    The machine learning approach for analysis of sound scenes and events

    Heittola, T., Cakir, E. & Virtanen, T. 22 Sep 2017 Computational Analysis of Sound Scenes and Events. Virtanen, T., Plumbley, M. D. & Ellis, D. (eds.). Cham: Springer, p. 13-40 33 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  3. Published

    Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection

    Cakir, E., Parascandolo, G., Heittola, T., Huttunen, H. & Virtanen, T. Jun 2017 In : Ieee-Acm transactions on audio speech and language processing. 25, 6, p. 1291-1303 13 p.

    Research output: Contribution to journalArticle

  4. Published

    Convolutional recurrent neural networks for bird audio detection

    Cakir, E., Adavanne, S., Parascandolo, G., Drossos, K. & Virtanen, T. 2017 European Signal Processing Conference . IEEE, p. 1744-1748 5 p. (European Signal Processing Conference)

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Published

    Convolutional Recurrent Neural Networks for Rare Sound Event Detection

    Cakir, E. & Virtanen, T. 2017 Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017). Tampere University of Technology. Laboratory of Signal Processing, p. 27-31

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Published

    Robust Direction Estimation with Convolutional Neural Networks-based Steered Response Power

    Pertilä, P. & Cakir, E. 2017 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, p. 6125-6129

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    Stacked convolutional and recurrent neural networks for bird audio detection

    Adavanne, S., Drossos, K., Cakir, E. & Virtanen, T. 2017 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, p. 1729-1733 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. 2016
  9. Published

    Filterbank Learning for Deep Neural Network Based Polyphonic Sound Event Detection

    Cakir, E., Ozan, E. C. & Virtanen, T. 3 Nov 2016 2016 International Joint Conference on Neural Networks (IJCNN). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. 2015
  11. Published

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

    Diment, A., Cakir, E., Heittola, T. & Virtanen, T. Aug 2015 Proceedings of the 2015 European Signal Processing Conference (EUSIPCO). IEEE, p. 734-738 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Published

    Multi-Label vs. Combined Single-label Sound Event Detection with Deep Neural Networks

    Cakir, E., Heittola, T., Huttunen, H. & Virtanen, T. Aug 2015 Proceedings of the 2015 European Signal Processing Conference (EUSIPCO). IEEE, p. 2596-2600 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Published

    Polyphonic Sound Event Detection Using Multi Label Deep Neural Networks

    Cakir, E., Heittola, T., Huttunen, H. & Virtanen, T. Jul 2015 2015 International Joint Conference on Neural Networks (IJCNN). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

ID: 76956