Pörschmann, Christoph:
A Database for the Comparison of Measured Datasets of Human Voice Directivity
In: Proceedings of Forum Acusticum 2023 : 10th Convention of EAA / Astolfi, Arianna; Asdrubali, Francesco; Shtrepi, Louena (Eds.). - 10th Convention of the European Acoustics Association Forum Acusticum 2023; Torino, Italy; 11.09-15.09.2023 - European Acoustics Association, 2023, pp. 4131 - 4138
2023Essay (Conference) in Conference proceedingsOpen Access
Faculty of Information, Media and Electrical Engineering » Institute of Computer and Communication Technology
Title:
A Database for the Comparison of Measured Datasets of Human Voice Directivity
Author:
Pörschmann, ChristophTH Köln
DHSB-ID
THK0001486
ORCID
0000-0003-0794-0444ORCID iD
SCOPUS
6507379026
Other
person connected with TH Köln
corresponding author
Year of publication:
2023
„Publication Channel“:
Open Access
Language of text:
English
Keyword, Topic:
Technische Akustik
Type of resource:
Text
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic

Abstract in English:

More than 200 years ago, early research on human voice radiation showed that speech has directional properties (Saunders, 1790; Wyatt, 1813). Since then, many speech directivity studies have elaborated on several specific aspects, for example, phoneme or loudness dependencies. However, up to now, only a few datasets are freely available. A database is presented that allows direct comparison and visualization of datasets from more than 15 different studies. The data is collected from tables, plots, and datasets from the supplemental material of the respective studies. Some studies present directivity patterns averaged over a whole sentence, while others report phoneme-dependent data. Furthermore, these datasets vary in their sampling grids, with many measured in the horizontal plane and just a few measured spherically. Furthermore, most datasets included in this work present frequency-band averaged values, for example, in one-third-octave bands, while a few newer studies provide the raw data in the form of transfer functions. Our database allows the visualization and comparison of directivity patterns of various datasets found in literature in different ways, such as polar plots or amplitudes over frequency. This study can thus simplify the systematic review and support a better understanding of the specific properties of human voice directivity.