A Deep Learning Approach for Angle Specific Source Separation from Raw Ambisonics Signals

Francesc Lluís; Nils Meyer-Kahlen; Vasileios Chatziioannou; Alex Hoffmann

A Deep Learning Approach for Angle Specific Source Separation from Raw Ambisonics Signals

Francesc Lluís, Nils Meyer-Kahlen, Vasileios Chatziioannou, Alex Hoffmann

Universitat fur Musik und darstellende Kunst Wien - University of Music and Performing Arts Vienna

Research output: Contribution to conference › Paper › Scientific

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Original language	English
Publication status	Published - 21 Mar 2022
MoE publication type	Not Eligible
Event	Jahrestagung für Akustik - Stuttgart, Germany Duration: 21 Mar 2022 → 24 Mar 2022 Conference number: 48 https://www.daga2022.de/

Conference

Conference	Jahrestagung für Akustik
Abbreviated title	DAGA
Country/Territory	Germany
City	Stuttgart
Period	21/03/2022 → 24/03/2022
Internet address	https://www.daga2022.de/

Keywords

Ambisonics
Source separation

Access to Document

Lluis - 2022 - A Deep Learning Approach for Angle Specific Source

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Full text

VRACE: Virtual Reality Audio for Cyber Environments
Lokki, T., Kastemaa, M., Meyer-Kahlen, N., Hiipakka, M. & Hofmann, A.
01/03/2019 → 31/08/2023
Project: EU: MC

Cite this

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title = "A Deep Learning Approach for Angle Specific Source Separation from Raw Ambisonics Signals",

keywords = "Ambisonics, Source separation",

author = "Francesc Llu{\'i}s and Nils Meyer-Kahlen and Vasileios Chatziioannou and Alex Hoffmann",

year = "2022",

month = mar,

day = "21",

language = "English",

note = "Jahrestagung f{\"u}r Akustik, DAGA ; Conference date: 21-03-2022 Through 24-03-2022",

url = "https://www.daga2022.de/",

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TY - CONF

T1 - A Deep Learning Approach for Angle Specific Source Separation from Raw Ambisonics Signals

AU - Lluís, Francesc

AU - Meyer-Kahlen, Nils

AU - Chatziioannou, Vasileios

AU - Hoffmann, Alex

N1 - Conference code: 48

PY - 2022/3/21

Y1 - 2022/3/21

KW - Ambisonics

KW - Source separation

M3 - Paper

T2 - Jahrestagung für Akustik

Y2 - 21 March 2022 through 24 March 2022

ER -

A Deep Learning Approach for Angle Specific Source Separation from Raw Ambisonics Signals

Conference

Keywords

Access to Document

OpenUrl availability

Projects

VRACE: Virtual Reality Audio for Cyber Environments

Cite this