Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 2017 22nd International Conference on Digital Signal Processing (DSP) |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
ISBN (elektronisch) | 9781538618950 |
ISBN (Print) | 9781538618967 |
Publikationsstatus | Veröffentlicht - 7 Nov. 2017 |
Veranstaltung | 2017 22nd International Conference on Digital Signal Processing, DSP 2017 - London, Großbritannien / Vereinigtes Königreich Dauer: 23 Aug. 2017 → 25 Aug. 2017 |
Publikationsreihe
Name | International Conference on Digital Signal Processing (DSP) |
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ISSN (elektronisch) | 2165-3577 |
Abstract
Head-related transfer functions (HRTF) play an important role for 3D audio reproduction over headphones, which highly depend on an individual's anatomy. Therefore, it is necessary to measure personal HRTFs. This paper presents a measurement system for fast estimation of 2D individual HRTFs in both azimuth and elevation with a head tracker. The subject can rotate its head arbitrarily during the measurement and get visual feedback on its current and already visited positions. Variable step-size activation based normalized least mean square (VSA-NLMS) and progressive based NLMS (VSP-NLMS) adaptive filtering algorithms are used for extracting the 2D individual HRTFs. Measured results show that the proposed measurement system works well for arbitrary head movements.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
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2017 22nd International Conference on Digital Signal Processing (DSP). Institute of Electrical and Electronics Engineers Inc., 2017. (International Conference on Digital Signal Processing (DSP)).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Fast estimation of 2D individual HRTFs with arbitrary head movements
AU - Li, Song
AU - Peissig, Jürgen
N1 - Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/11/7
Y1 - 2017/11/7
N2 - Head-related transfer functions (HRTF) play an important role for 3D audio reproduction over headphones, which highly depend on an individual's anatomy. Therefore, it is necessary to measure personal HRTFs. This paper presents a measurement system for fast estimation of 2D individual HRTFs in both azimuth and elevation with a head tracker. The subject can rotate its head arbitrarily during the measurement and get visual feedback on its current and already visited positions. Variable step-size activation based normalized least mean square (VSA-NLMS) and progressive based NLMS (VSP-NLMS) adaptive filtering algorithms are used for extracting the 2D individual HRTFs. Measured results show that the proposed measurement system works well for arbitrary head movements.
AB - Head-related transfer functions (HRTF) play an important role for 3D audio reproduction over headphones, which highly depend on an individual's anatomy. Therefore, it is necessary to measure personal HRTFs. This paper presents a measurement system for fast estimation of 2D individual HRTFs in both azimuth and elevation with a head tracker. The subject can rotate its head arbitrarily during the measurement and get visual feedback on its current and already visited positions. Variable step-size activation based normalized least mean square (VSA-NLMS) and progressive based NLMS (VSP-NLMS) adaptive filtering algorithms are used for extracting the 2D individual HRTFs. Measured results show that the proposed measurement system works well for arbitrary head movements.
KW - arbitrary head movements
KW - fast estimation
KW - head tracker
KW - Head-related transfer function
KW - visual feedback
UR - http://www.scopus.com/inward/record.url?scp=85040365485&partnerID=8YFLogxK
U2 - 10.1109/ICDSP.2017.8096086
DO - 10.1109/ICDSP.2017.8096086
M3 - Conference contribution
AN - SCOPUS:85040365485
SN - 9781538618967
T3 - International Conference on Digital Signal Processing (DSP)
BT - 2017 22nd International Conference on Digital Signal Processing (DSP)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 22nd International Conference on Digital Signal Processing, DSP 2017
Y2 - 23 August 2017 through 25 August 2017
ER -