@inproceedings{2945b86eb4c74ee58a9e3383c51e4c3f,
title = "Image approach to voice recognition",
abstract = "Systems for user verification are constantly developed, for which we need novel methods and approaches. In this article we present our research on the model for sound processing. Input signal is transformed by the use of Discrete Fourier Transform into spectrogram. In this way we receive an image visualization of the sound amplitude spectrum over time interval. For this we use a combination of heuristic approach and Convolutional Neural Network to search for significant features and recognize them. Presented results of numerical experiments show high potential of this idea and possibility for further development.",
keywords = "Convolutional Neural Network, heuristics, voice processing",
author = "Dawid Polap and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 ; Conference date: 27-11-2017 Through 01-12-2017",
year = "2017",
month = jul,
day = "1",
doi = "10.1109/SSCI.2017.8280890",
language = "English",
series = "2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--7",
booktitle = "2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings",
address = "United States",
}