Modelling human sound localization with deep neural networks

Kiki van der Heijden; Siamak Mehrkanoon

Modelling human sound localization with deep neural networks

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Original language	English
Title of host publication	ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Pages	521-526
Publication status	Published - 2020
Event	European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Online, Brugge, Belgium Duration: 2 Oct 2020 → 4 Oct 2020 Conference number: 28 https://www.esann.org/esann20programme

Symposium

Symposium	European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Abbreviated title	ESANN 2020
Country/Territory	Belgium
City	Brugge
Period	2/10/20 → 4/10/20
Internet address	https://www.esann.org/esann20programme

Access to Document

https://www.esann.org/sites/default/files/proceedings/2020/ES2020-59.pdf

Cite this

@inproceedings{d6f527463b4143969e136e7ce6a05ce4,

title = "Modelling human sound localization with deep neural networks",

author = "{van der Heijden}, Kiki and Siamak Mehrkanoon",

year = "2020",

language = "English",

isbn = "978-2-87587-074-2",

pages = "521--526",

booktitle = "ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

note = "European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020 ; Conference date: 02-10-2020 Through 04-10-2020",

url = "https://www.esann.org/esann20programme",

}

van der Heijden, K & Mehrkanoon, S 2020, Modelling human sound localization with deep neural networks. in ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. pp. 521-526, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Brugge, Belgium, 2/10/20. <https://www.esann.org/sites/default/files/proceedings/2020/ES2020-59.pdf>

Modelling human sound localization with deep neural networks. / van der Heijden, Kiki; Mehrkanoon, Siamak.
ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 2020. p. 521-526.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Modelling human sound localization with deep neural networks

AU - van der Heijden, Kiki

AU - Mehrkanoon, Siamak

N1 - Conference code: 28

PY - 2020

Y1 - 2020

M3 - Conference article in proceeding

SN - 978-2-87587-074-2

SP - 521

EP - 526

BT - ESANN 2020 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

T2 - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Y2 - 2 October 2020 through 4 October 2020

ER -