Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation

Jorge Dávila-Chacón; Stefan Heinrich; Jingdong Liu; Stefan Wermter

doi:10.1007/978-3-642-33269-2_31

Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation

Jorge Dávila-Chacón, Stefan Heinrich, Jingdong Liu, Stefan Wermter

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

This paper presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL were the interaural time (ITD) and level (ILD) differences. ITDs and ILDs were extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs were integrated in a model of the inferior colliculus (IC). The connection weights between the MSO and LSO neurons to the IC neurons were estimated using Bayesian inference. This inference process allowed the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results showed that the algorithm is capable of differentiating sounds with an accuracy of 15°.

Originalsprog	Engelsk
Titel	Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012)
Redaktører	Alessandro E.P. Villa, Włodzisław Duch, Péter Érdi, Francesco Masulli, Günther Palm
Antal sider	8
Vol/bind	7552
Forlag	Springer
Publikationsdato	1 sep. 2012
Sider	239-246
DOI	https://doi.org/10.1007/978-3-642-33269-2_31
Status	Udgivet - 1 sep. 2012
Udgivet eksternt	Ja

Navn	Lecture Notes in Computer Science

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10.1007/978-3-642-33269-2_31

https://stefanheinrich.net/files/2012_DavilaChacon_ICANN.pdfLicens: Ikke-specificeret

Citationsformater

Dávila-Chacón, J., Heinrich, S., Liu, J., & Wermter, S. (2012). Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. I A. E. P. Villa, W. Duch, P. Érdi, F. Masulli, & G. Palm (red.), Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012) (Bind 7552, s. 239-246). Springer. https://doi.org/10.1007/978-3-642-33269-2_31

Dávila-Chacón, Jorge ; Heinrich, Stefan ; Liu, Jingdong et al. / Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012). red. / Alessandro E.P. Villa ; Włodzisław Duch ; Péter Érdi ; Francesco Masulli ; Günther Palm. Bind 7552 Springer, 2012. s. 239-246 (Lecture Notes in Computer Science).

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title = "Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation",

abstract = "This paper presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL were the interaural time (ITD) and level (ILD) differences. ITDs and ILDs were extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs were integrated in a model of the inferior colliculus (IC). The connection weights between the MSO and LSO neurons to the IC neurons were estimated using Bayesian inference. This inference process allowed the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results showed that the algorithm is capable of differentiating sounds with an accuracy of 15°.",

keywords = "Binaural sound source localisation, Spiking neural networks, Bayesian inference, Inferior colliculus",

author = "Jorge D{\'a}vila-Chac{\'o}n and Stefan Heinrich and Jingdong Liu and Stefan Wermter",

year = "2012",

month = sep,

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doi = "10.1007/978-3-642-33269-2_31",

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booktitle = "Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012)",

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Dávila-Chacón, J, Heinrich, S, Liu, J & Wermter, S 2012, Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. i AEP Villa, W Duch, P Érdi, F Masulli & G Palm (red), Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012). bind 7552, Springer, Lecture Notes in Computer Science, s. 239-246. https://doi.org/10.1007/978-3-642-33269-2_31

Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. / Dávila-Chacón, Jorge; Heinrich, Stefan; Liu, Jingdong et al.
Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012). red. / Alessandro E.P. Villa; Włodzisław Duch; Péter Érdi; Francesco Masulli; Günther Palm. Bind 7552 Springer, 2012. s. 239-246 (Lecture Notes in Computer Science).

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation

AU - Dávila-Chacón, Jorge

AU - Heinrich, Stefan

AU - Liu, Jingdong

AU - Wermter, Stefan

PY - 2012/9/1

Y1 - 2012/9/1

N2 - This paper presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL were the interaural time (ITD) and level (ILD) differences. ITDs and ILDs were extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs were integrated in a model of the inferior colliculus (IC). The connection weights between the MSO and LSO neurons to the IC neurons were estimated using Bayesian inference. This inference process allowed the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results showed that the algorithm is capable of differentiating sounds with an accuracy of 15°.

AB - This paper presents a spiking neural network (SNN) for binaural sound source localisation (SSL). The cues used for SSL were the interaural time (ITD) and level (ILD) differences. ITDs and ILDs were extracted with models of the medial superior olive (MSO) and the lateral superior olive (LSO). The MSO and LSO outputs were integrated in a model of the inferior colliculus (IC). The connection weights between the MSO and LSO neurons to the IC neurons were estimated using Bayesian inference. This inference process allowed the algorithm to perform robustly on a robot with ~40,dB of ego-noise. The results showed that the algorithm is capable of differentiating sounds with an accuracy of 15°.

KW - Binaural sound source localisation

KW - Spiking neural networks

KW - Bayesian inference

KW - Inferior colliculus

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EP - 246

BT - Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012)

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Dávila-Chacón J, Heinrich S, Liu J, Wermter S. Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation. I Villa AEP, Duch W, Érdi P, Masulli F, Palm G, red., Proceedings of the 22nd International Conference on Artificial Neural Networks (ICANN 2012). Bind 7552. Springer. 2012. s. 239-246. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-33269-2_31

Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation

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