A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Yuqing Li
  • Joao Cardenuto
  • Fabio Di Giusto
  • Stephan Preihs
  • Jürgen Peissig

Organisationseinheiten

Externe Organisationen

  • Siemens Digital Industries Software
  • KU Leuven
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Details

OriginalspracheEnglisch
Titel des SammelwerksAES Europe 2023
Untertitel154th Audio Engineering Society Convention
Herausgeber (Verlag)Audio Engineering Society
ISBN (elektronisch)9781713877783
PublikationsstatusVeröffentlicht - 2023
VeranstaltungAES Europe 2023: 154th Audio Engineering Society Convention - Espoo, Helsinki, Finnland
Dauer: 13 Mai 202315 Mai 2023

Publikationsreihe

NameAES Europe 2023: 154th Audio Engineering Society Convention

Abstract

A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented. The measurement used a continuously moving sound source and adaptive filtering, allowing efficient acquisition of near-field HRTFs. HRTFs were measured at 83448 spatial points in a range of distances from 0.2 m to 1.1 m, elevations from -25°to 35°, and azimuths from 0°to 355°. Notably, the distance resolution of the HRTF data set is 1 cm, higher than that of all existing public near-field HRTF databases. The reliability of the presented data set was confirmed by objective assessment. The data set enables extensive exploration of distance-dependent variation in near-field HRTFs and is beneficial for applications of binaural rendering of nearby sound sources.

ASJC Scopus Sachgebiete

Zitieren

A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations. / Li, Yuqing; Cardenuto, Joao; Di Giusto, Fabio et al.
AES Europe 2023: 154th Audio Engineering Society Convention. Audio Engineering Society, 2023. (AES Europe 2023: 154th Audio Engineering Society Convention).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Li, Y, Cardenuto, J, Di Giusto, F, Preihs, S & Peissig, J 2023, A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations. in AES Europe 2023: 154th Audio Engineering Society Convention. AES Europe 2023: 154th Audio Engineering Society Convention, Audio Engineering Society, AES Europe 2023: 154th Audio Engineering Society Convention, Espoo, Helsinki, Finnland, 13 Mai 2023. <https://www.aes.org/e-lib/browse.cfm?elib=22097>
Li, Y., Cardenuto, J., Di Giusto, F., Preihs, S., & Peissig, J. (2023). A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations. In AES Europe 2023: 154th Audio Engineering Society Convention (AES Europe 2023: 154th Audio Engineering Society Convention). Audio Engineering Society. https://www.aes.org/e-lib/browse.cfm?elib=22097
Li Y, Cardenuto J, Di Giusto F, Preihs S, Peissig J. A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations. in AES Europe 2023: 154th Audio Engineering Society Convention. Audio Engineering Society. 2023. (AES Europe 2023: 154th Audio Engineering Society Convention).
Li, Yuqing ; Cardenuto, Joao ; Di Giusto, Fabio et al. / A near-field Head-Related Transfer Function data set of KEMAR with high distance resolution and multiple elevations. AES Europe 2023: 154th Audio Engineering Society Convention. Audio Engineering Society, 2023. (AES Europe 2023: 154th Audio Engineering Society Convention).
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abstract = "A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented. The measurement used a continuously moving sound source and adaptive filtering, allowing efficient acquisition of near-field HRTFs. HRTFs were measured at 83448 spatial points in a range of distances from 0.2 m to 1.1 m, elevations from -25°to 35°, and azimuths from 0°to 355°. Notably, the distance resolution of the HRTF data set is 1 cm, higher than that of all existing public near-field HRTF databases. The reliability of the presented data set was confirmed by objective assessment. The data set enables extensive exploration of distance-dependent variation in near-field HRTFs and is beneficial for applications of binaural rendering of nearby sound sources.",
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Download

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AU - Li, Yuqing

AU - Cardenuto, Joao

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N2 - A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented. The measurement used a continuously moving sound source and adaptive filtering, allowing efficient acquisition of near-field HRTFs. HRTFs were measured at 83448 spatial points in a range of distances from 0.2 m to 1.1 m, elevations from -25°to 35°, and azimuths from 0°to 355°. Notably, the distance resolution of the HRTF data set is 1 cm, higher than that of all existing public near-field HRTF databases. The reliability of the presented data set was confirmed by objective assessment. The data set enables extensive exploration of distance-dependent variation in near-field HRTFs and is beneficial for applications of binaural rendering of nearby sound sources.

AB - A near-field Head-Related Transfer Function (HRTF) data set measured on a KEMAR head and torso simulator with high distance resolution and multiple elevations is presented. The measurement used a continuously moving sound source and adaptive filtering, allowing efficient acquisition of near-field HRTFs. HRTFs were measured at 83448 spatial points in a range of distances from 0.2 m to 1.1 m, elevations from -25°to 35°, and azimuths from 0°to 355°. Notably, the distance resolution of the HRTF data set is 1 cm, higher than that of all existing public near-field HRTF databases. The reliability of the presented data set was confirmed by objective assessment. The data set enables extensive exploration of distance-dependent variation in near-field HRTFs and is beneficial for applications of binaural rendering of nearby sound sources.

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