@article{VersuemerSteffensBlaettermannetal.2020, author = {Vers{\"u}mer, Siegbert and Steffens, Jochen and Bl{\"a}ttermann, Patrick and Becker-Schweitzer, J{\"o}rg}, title = {Modelling evaluations of low-level sounds in everyday situations using linear machine learning for variable selection}, series = {Frontiers in Psychology}, volume = {11}, journal = {Frontiers in Psychology}, publisher = {Frontiers}, issn = {1664-1078}, doi = {10.3389/fpsyg.2020.570761}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-23779}, year = {2020}, language = {en} } @incollection{RosenthalVersuemerSteffens2022, author = {Rosenthal, Fabian and Vers{\"u}mer, Siegbert and Steffens, Jochen}, title = {Audioinhaltsanalyse und Multilevelmodellierung zur Vorhersage der Bewertung von Indoor Soundscapes}, series = {Deutsche Jahrestagung f{\"u}r Akustik (DAGA)}, booktitle = {Deutsche Jahrestagung f{\"u}r Akustik (DAGA)}, publisher = {DAGA}, address = {Stuttgart}, year = {2022}, language = {de} } @inproceedings{VersuemerSteffensBlaettermann2022, author = {Vers{\"u}mer, Siegbert and Steffens, Jochen and Bl{\"a}ttermann, Patrick}, title = {Subjektive Lautheitsbewertung unter Einfluss situativer und personenbezogener Faktoren}, series = {Deutsche Jahrestagung f{\"u}r Akustik (DAGA)}, booktitle = {Deutsche Jahrestagung f{\"u}r Akustik (DAGA)}, address = {Stuttgart}, year = {2022}, language = {de} } @misc{VersuemerSteffensRosenthal2023, author = {Vers{\"u}mer, Siegbert and Steffens, Jochen and Rosenthal, Fabian}, title = {Extensive crowdsourced dataset of in-situ evaluated binaural soundscapes of private dwellings containing subjective sound-related and situational ratings along with person factors to study time-varying influences on sound perception - research data}, edition = {V.01.1}, address = {Zenodo}, doi = {10.5281/zenodo.7193937}, year = {2023}, abstract = {The soundscape approach highlights the role of situational factors in sound evaluations; however, only a few studies have applied a multi-domain approach including sound-related, person-related, and time-varying situational variables. Therefore, we conducted a study based on the Experience Sampling Method to measure the relative contribution of a broad range of potentially relevant acoustic and non-auditory variables in predicting indoor soundscape evaluations. Here we present the comprehensive dataset for which 105 participants reported temporally (rather) stable trait variables such as noise sensitivity, trait affect, and quality of life. They rated 6.594 situations regarding the soundscape standard dimensions, perceived loudness, and the saliency of its sound components and evaluated situational variables such as state affect, perceived control, activity, and location. To complement these subject-centered data, we additionally crowdsourced object-centered data by having participants make binaural measurements of each indoor soundscape at their homes using a low-(self-)noise recorder. These recordings were used to compute (psycho-)acoustical indices such as the energetically averaged loudness level, the A-weighted energetically averaged equivalent continuous sound pressure level, and the A-weighted five-percent exceedance level. This complex hierarchical data can be used to investigate time-varying non-auditory influences on sound perception and to develop soundscape indicators based on the binaural recordings to predict soundscape evaluations.}, subject = {soundscape}, language = {en} } @misc{RosenthalVersuemerBlaettermann2024, author = {Rosenthal, Fabian and Vers{\"u}mer, Siegbert and Bl{\"a}ttermann, Patrick}, title = {flexcv: Easy and flexible nested cross validation for tabular data in python}, edition = {Version v24.0-beta}, publisher = {Zenodo}, address = {Genf}, doi = {10.5281/zenodo.10160846}, year = {2024}, abstract = {Python package customizing nested cross validation for tabular data.}, subject = {Software}, language = {en} } @inproceedings{VersuemerBlaettermann2024, author = {Vers{\"u}mer, Siegbert and Bl{\"a}ttermann, Patrick}, title = {Predicting real indoor soundscapes based on auditory and non-auditory factors across different loudness ranges with linear and nonlinear models}, series = {INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Conference Proceeding 8, 4 October 2024}, booktitle = {INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Conference Proceeding 8, 4 October 2024}, publisher = {Institute of Noise Control Engineering}, doi = {10.3397/IN_2024_3386}, pages = {3882 -- 3892}, year = {2024}, subject = {Soundscape}, language = {en} } @article{VersuemerSteffensWeinzierl2023, author = {Vers{\"u}mer, Siegbert and Steffens, Jochen and Weinzierl, Stefan}, title = {Day-to-day loudness assessments of indoor soundscapes: Exploring the impact of loudness indicators, person, and situation}, series = {The Journal of the Acoustical Society of America}, volume = {153}, journal = {The Journal of the Acoustical Society of America}, number = {5}, publisher = {Acoustical Society of America (ASA)}, issn = {0001-4966}, doi = {10.1121/10.0019413}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-46127}, pages = {2956 -- 2972}, year = {2023}, abstract = {This study investigates loudness perception in real-world contexts using predictors related to the sound, situation, or person. In the study, 105 participants recorded 6594 sound environments in their homes, which were then evaluated based on the Experience Sampling Method. Hierarchical linear regressions using a loudness level based on ISO 532-1 allowed for obtaining the best model fits for predicting perceived loudness and explaining the highest variance. LAeq and LAF5 provided comparable results and may require less computational effort. However, the analysis shows that only one-third of the variance explained by fixed effects was attributable to the loudness level. Sixteen percent stemmed from perceived properties of the soundscape; 1\% were attributable to relatively temporally stable, person-related predictors like participants' age; non-auditory situational predictors made no additional contribution. The results thus did not confirm previous findings on loudness perception under laboratory conditions, emphasizing the importance of the situational context. Along with the current paper, a comprehensive dataset, including the assessed person-related, situational, and sound-related measures as well as LAeq time-series and third-octave spectrograms, is provided to enable further research on sound perception, indoor soundscapes, and emotion.}, subject = {Lautwahrnehmung}, language = {en} }