Anthropometric individualization of head-related transfer functions analysis and modeling / Ramona Bomhardt.

Format:

Book

Author/Creator:

Bomhardt, Ramona, 1984- author.

Series:

Aachener Beiträge zur Akustik

Language:

English

Subjects (All):

Engineering.

Physical Description:

1 online resource (143 pages) : digital file(s).

Place of Publication:

Berlin/Germany Logos Verlag Berlin 2017

Berlin, Germany : Logos Verlag Berlin GmbH, [2017]

Language Note:

In English with front matter in German.

System Details:

text file

Summary:

Human sound localization helps to pay attention to spatially separated speakers using interaural level and time differences as well as angle-dependent monaural spectral cues. In a monophonic teleconference, for instance, it is much more difficult to distinguish between different speakers due to missing binaural cues. Spatial positioning of the speakers by means of binaural reproduction methods using head-related transfer functions (HRTFs) enhances speech comprehension. These HRTFs are influenced by the torso, head and ear geometry as they describe the propagation path of the sound from a source to the ear canal entrance. Through this geometry-dependency, the HRTF is directional and subject-dependent. To enable a sufficient reproduction, individual HRTFs should be used. However, it is tremendously difficult to measure these HRTFs. For this reason this thesis proposes approaches to adapt the HRTFs applying individual anthropometric dimensions of a user. Since localization at low frequencies is mainly influenced by the interaural time difference, two models to adapt this difference are developed and compared with existing models. Furthermore, two approaches to adapt the spectral cues at higher frequencies are studied, improved and compared. Although the localization performance with individualized HRTFs is slightly worse than with individual HRTFs, it is nevertheless still better than with non-individual HRTFs, taking into account the measurement effort.

Notes:

Based on author's doctoral thesis: Fakultät für Elektrotechnik und Informationstechnik der Rheinischen-Westfälischen Technischen Hochschule Aachen -- title-page recto.

Includes bibliographical references.

CC BY-NC-ND

Description based on e-publication, viewed on July 12, 2021.

Other Format:

Print version:

ISBN:

9783832545437

Publisher Number:

https://doi.org/10.30819/4543

Access Restriction:

Open access Unrestricted online access