On the identification and assessment of underlying acoustic dimensions of soundscapes
The concept of soundscapes according to ISO 12913-1/-2/-3 proposes a descriptive framework based on a triangulation between the entities acoustic environment, person and context. While research on the person-related dimensions is well established, there is not yet complete agreement on the relevant...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | Acta Acustica |
| Subjects: | |
| Online Access: | https://acta-acustica.edpsciences.org/articles/aacus/full_html/2022/01/aacus220055/aacus220055.html |
| _version_ | 1797758325136293888 |
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| author | Bergner Jakob Peissig Jürgen |
| author_facet | Bergner Jakob Peissig Jürgen |
| author_sort | Bergner Jakob |
| collection | DOAJ |
| description | The concept of soundscapes according to ISO 12913-1/-2/-3 proposes a descriptive framework based on a triangulation between the entities acoustic environment, person and context. While research on the person-related dimensions is well established, there is not yet complete agreement on the relevant indicators and dimensions for the pure description of acoustic environments. Therefore, this work attempts to identify acoustic dimensions that actually vary between different acoustic environments and thus can be used to characterize them. To this end, an exploratory, data-based approach was taken. A database of Ambisonics soundscape recordings (approx. 12.5 h) was first analyzed using a variety of signal-based acoustic indicators (Ni = 326) within the categories loudness, quality, spaciousness and time. Multivariate statistical methods were then applied to identify compound and interpretable acoustic dimensions. The interpretation of the results reveals 8 independent dimensions “Loudness”, “Directivity”, “Timbre”, “High-Frequency Timbre”, “Dynamic Range”, “High-Frequency Amplitude Modulation”, “Loudness Progression” and “Mid-High-Frequency Amplitude Modulation” to be statistically relevant. These derived latent acoustic dimensions explain 48.76% of the observed total variance and form a physical basis for the description of acoustic environments. Although all baseline indicators were selected for perceptual reasons, validation must be done through appropriate listening tests in future. |
| first_indexed | 2024-03-12T18:28:23Z |
| format | Article |
| id | doaj.art-c45a08318bff4820893a30fc6d64992d |
| institution | Directory Open Access Journal |
| issn | 2681-4617 |
| language | English |
| last_indexed | 2024-03-12T18:28:23Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Acta Acustica |
| spelling | doaj.art-c45a08318bff4820893a30fc6d64992d2023-08-02T08:27:13ZengEDP SciencesActa Acustica2681-46172022-01-0164610.1051/aacus/2022042aacus220055On the identification and assessment of underlying acoustic dimensions of soundscapesBergner Jakob0https://orcid.org/0000-0001-6844-0019Peissig Jürgenhttps://orcid.org/0000-0002-4649-8911Institute of Communications Technology, Leibniz University HannoverThe concept of soundscapes according to ISO 12913-1/-2/-3 proposes a descriptive framework based on a triangulation between the entities acoustic environment, person and context. While research on the person-related dimensions is well established, there is not yet complete agreement on the relevant indicators and dimensions for the pure description of acoustic environments. Therefore, this work attempts to identify acoustic dimensions that actually vary between different acoustic environments and thus can be used to characterize them. To this end, an exploratory, data-based approach was taken. A database of Ambisonics soundscape recordings (approx. 12.5 h) was first analyzed using a variety of signal-based acoustic indicators (Ni = 326) within the categories loudness, quality, spaciousness and time. Multivariate statistical methods were then applied to identify compound and interpretable acoustic dimensions. The interpretation of the results reveals 8 independent dimensions “Loudness”, “Directivity”, “Timbre”, “High-Frequency Timbre”, “Dynamic Range”, “High-Frequency Amplitude Modulation”, “Loudness Progression” and “Mid-High-Frequency Amplitude Modulation” to be statistically relevant. These derived latent acoustic dimensions explain 48.76% of the observed total variance and form a physical basis for the description of acoustic environments. Although all baseline indicators were selected for perceptual reasons, validation must be done through appropriate listening tests in future.https://acta-acustica.edpsciences.org/articles/aacus/full_html/2022/01/aacus220055/aacus220055.htmlsoundscapeunderlying acoustic dimensionsstatistical signal processingmultivariate statistics |
| spellingShingle | Bergner Jakob Peissig Jürgen On the identification and assessment of underlying acoustic dimensions of soundscapes Acta Acustica soundscape underlying acoustic dimensions statistical signal processing multivariate statistics |
| title | On the identification and assessment of underlying acoustic dimensions of soundscapes |
| title_full | On the identification and assessment of underlying acoustic dimensions of soundscapes |
| title_fullStr | On the identification and assessment of underlying acoustic dimensions of soundscapes |
| title_full_unstemmed | On the identification and assessment of underlying acoustic dimensions of soundscapes |
| title_short | On the identification and assessment of underlying acoustic dimensions of soundscapes |
| title_sort | on the identification and assessment of underlying acoustic dimensions of soundscapes |
| topic | soundscape underlying acoustic dimensions statistical signal processing multivariate statistics |
| url | https://acta-acustica.edpsciences.org/articles/aacus/full_html/2022/01/aacus220055/aacus220055.html |
| work_keys_str_mv | AT bergnerjakob ontheidentificationandassessmentofunderlyingacousticdimensionsofsoundscapes AT peissigjurgen ontheidentificationandassessmentofunderlyingacousticdimensionsofsoundscapes |