Sound Recognition System Using Spiking and MLP Neural Networks-Reference-Cited by-同舟云学术

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Sound Recognition System Using Spiking and MLP Neural Networks

Published:2016 Issue: Volume: Page:363-371
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2016
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Author:

Cerezuela-Escudero Elena,Jimenez-Fernandez Angel,Paz-Vicente Rafael,Dominguez-Morales Juan P.,Dominguez-Morales Manuel J.,Linares-Barranco Alejandro

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-44781-0_43

Reference31 articles.

1. Pickles, J.O.: An Introduction to the Physiology of Hearing. Emerald, London (2012)

2. Guerrero-turrubiates, J.J., Gonzalez-reyna, S.E., Ledesma-orozco, S.E., Avina-cervantes, J.G.: Pitch estimation for musical note recognition using artificial neural networks. In: International Conference on Electronics, Communications and Computers (CONIELECOMP), pp. 53–58 (2014)

3. Nielsen, A.B., Hansen, L.K., Kjems, U.: Pitch based sound classification. In: 2006 Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), vol. 3, pp. 788–791 (2006)

4. Pishdadian, F., Nelson, J.K.: On the transcription of monophonic melodies in an instance-based pitch classification scenario. In: Proceedings of 2013 IEEE Digital Signal Processing and Signal Processing Education Meeting, DSP/SPE 2013, pp. 222–227 (2013)

5. Iwasa, K., Kugler, M., Kuroyanagi, S., Iwata, A.: A sound localization and recognition system using pulsed neural networks on FPGA. In: International Joint Conference on Neural Networks, IJCNN 2007, pp. 902–907. IEEE, August 2007

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