Snn and sound: a comprehensive review of spiking neural networks in sound
Author:
Funder
Korea Institute for Advancement of Technology
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13534-024-00406-y.pdf
Reference70 articles.
1. Francl A, McDermott JH. Deep neural network models of sound localization reveal how perception is adapted to real-world environments. Nature Human Behav. 2022;6(1):111–33.
2. Zhang X, Sun H, Wang S, Xu J. A new regional localization method for indoor sound source based on convolutional neural networks. IEEE Access. 2018;6:72073–82.
3. Yalta N, Nakadai K, Ogata T. Sound source localization using deep learning models. J Robot Mechatron. 2017;29(1):37–48.
4. Pak J, Shin JW. Sound localization based on phase difference enhancement using deep neural networks. IEEE/ACM Trans Audio Speech Lang Process. 2019;27(8):1335–45.
5. Asano F, Asoh H, Matsui T. Sound source localization and separation in near field. IEICE Trans Fundam Electron Commun Comput Sci. 2000;83(11):2286–94.
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