TY - CHAP A1 - Feistel, Stefan A1 - Ackermann, David A1 - Weinzierl, Stefan T1 - Using High-Resolution Directivity Data of Musical Instruments for Acoustic Simulation and Auralization T2 - Proceedings of the 155th Audio Engineering Society Conventio, New York, 25-27th of October 2023. Y1 - 2023 PB - Audio Engineering Society ER - TY - JOUR A1 - von Berg, Markus A1 - Steffens, Jochen A1 - Weinzierl, Stefan A1 - Müllensiefen, Daniel T1 - Assessing room acoustic listening expertise JF - Journal of the Acoustical Society of America N2 - Musicians and music professionals are often considered to be expert listeners for listening tests on room acoustics. However, these tests often target acoustic parameters other than those typically relevant in music such as pitch, rhythm, amplitude, or timbre. To assess the expertise in perceiving and understanding room acoustical phenomena, a listening test battery was constructed to measure the perceptual sensitivity and cognitive abilities in the identification of rooms with different reverberation times and different spectral envelopes. Performance in these tests was related to data from the Goldsmiths Musical Sophistication Index, self-reported previous experience in music recording and acoustics, and academic knowledge on acoustics. The data from 102 participants show that sensory and cognitive abilities are both correlated significantly with musical training, analytic listening skills, recording experience, and academic knowledge on acoustics, whereas general interest in and engagement with music do not show any significant correlations. The regression models, using only significantly correlated criteria of musicality and professional expertise, explain only small to moderate amounts (11%–28%) of the variance in the “room acoustic listening expertise” across the different tasks of the battery. Thus, the results suggest that the traditional criteria for selecting expert listeners in room acoustics are only weak predictors of their actual performances. Y1 - 2021 U6 - https://doi.org/10.1121/10.0006574 VL - 150 IS - 4 SP - 2539 EP - 2548 PB - Acoustical Society of America ER - TY - CHAP A1 - von Berg, Markus A1 - Steffens, Jochen A1 - Müllensiefen, Daniel A1 - Weinzierl, Stefan T1 - Gibt es raumakustische Hörexpertise? T2 - Fortschritte der Akustik - DAGA 2020: 46. Deutsche Jahrestagung für Akustik Y1 - 2020 U6 - https://doi.org/10.14279/depositonce-9998 SP - 858 EP - 861 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Böldt, Sebastian A1 - Steffens, Jochen A1 - Büttner, Clemens A1 - Weinzierl, Stefan T1 - Modellierung von Publikumsgeräuschen bei Veranstaltungen mit Sprache und Musik T2 - Fortschritte der Akustik - DAGA 2020: 46. Deutsche Jahrestagung für Akustik Y1 - 2020 U6 - https://doi.org/10.14279/depositonce-9991 SP - 850 EP - 853 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Wilczek, Tobias A1 - Steffens, Jochen A1 - Weinzierl, Stefan T1 - Zum Einfluss der Akustik auf die Qualität von Restaurants. Eine Feldstudie T2 - Fortschritte der Akustik - DAGA 2020: 46. Deutsche Jahrestagung für Akustik Y1 - 2020 UR - https://depositonce.tu-berlin.de/bitstream/11303/11109/4/wilczek_etal_2020.pdf U6 - https://doi.org/10.14279/depositonce-9999 SP - 854 EP - 857 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Luizard, Paul A1 - Steffens, Jochen A1 - Weinzierl, Stefan ED - Lautenbach, Margriet ED - Witew, Ingo B. ED - de Vries, Diemer ED - Hornikx, Maarten T1 - Adaptation of singers to physical and virtual room acoustics T2 - Proceedings of the International Symposium on Room Acoustics (ISRA) 2019, Amsterdam, Netherlands. Y1 - 2019 SN - 978-90-9032895-9 PB - Nederlands Akoestisch Genootschap CY - Heerde ER - TY - JOUR A1 - Steffens, Jochen A1 - Wilczek, Tobias A1 - Weinzierl, Stefan T1 - Junk Food or Haute Cuisine to the Ear? – Investigating the Relationship Between Room Acoustics, Soundscape, Non-Acoustical Factors, and the Perceived Quality of Restaurants JF - Frontiers in Built Environment N2 - Sound and music are well-studied aspects of the quality of experience in restaurants; the role of the room acoustical conditions, their influence on the visitors’ soundscape evaluation and their impact on the overall customer satisfaction in restaurants, however, has received less scientific attention. The present field study therefore investigated whether sound pressure level, reverberation time, and soundscape pleasantness can predict factors associated with overall restaurant quality. In total, 142 persons visiting 12 restaurants in Berlin rated relevant acoustical and non-acoustical factors associated with restaurant quality. Simultaneously, the A-weighted sound pressure level (LA,eq,15) was measured, and the reverberation time in the occupied state (T20,occ) was obtained by measurements performed in the unoccupied room and a subsequent calculation of the occupied condition according to DIN 18041. Results from linear mixed-effects models revealed that both the LA,eq,15 and T20,occ had a significant influence on soundscape pleasantness and eventfulness, whereby the effect of T20,occ was meditated by the LA,eq,15. Also, the LA,eq,15 as well as soundscape pleasantness were significant predictors of overall restaurant quality. A comprehensive structural equation model including both acoustical and non-acoustical factors, however, indicates that the effect of soundscape pleasantness on overall restaurant quality is mediated by the restaurant’s atmosphere. Our results support and extend previous findings which suggest that the acoustical design of restaurants involves a trade-off between comfort and liveliness, depending on the desired character of the place. KW - DOAJ Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-32115 SN - 2297-3362 N1 - The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fbuil.2021.676009/full#supplementary-material; ut:000655121500001 VL - 676009 PB - Frontiers ER - TY - JOUR A1 - Luizard, Paul A1 - Steffens, Jochen A1 - Weinzierl, Stefan T1 - Singing in different rooms: Common or individual adaptation patterns to the acoustic conditions? JF - The Journal of the Acoustical Society of America Y1 - 2020 U6 - https://doi.org/10.1121/10.0000715 N1 - Open Access Veröffentlichung VL - 147 IS - 2 PB - ASA ER - TY - JOUR A1 - Versümer, Siegbert A1 - Blättermann, Patrick A1 - Rosenthal, Fabian A1 - Weinzierl, Stefan T1 - A comparison of methods for modeling soundscape dimensions based on different datasets JF - The Journal of the Acoustical Society of America N2 - Soundscape studies vary considerably in study design, statistical methods, and model fit metrics used. Due to this confounding of data and methods, it is difficult to assess the suitability of statistical modelling techniques used in the literature. Therefore, five different methods and two performance metrics were applied to three existing soundscape datasets to model soundscape Pleasantness and Eventfulness based on seven acoustic and three sociodemographic predictors. Datasets differed in soundscape type (urban outdoor vs indoor), experimental setting (field- vs lab-based), size, and study design (site- vs person-centered). The fixed-effects and mixed-effects methods ranged from linear to nonlinear regression based on advanced machine learning approaches. Results showed that models performed better for Eventfulness than for Pleasantness in most cases, while performance as measured by the out-of-sample R2 was dependent on the total variance of the target, especially in both field studies with imbalanced targets and groups. Nonlinear methods consistently outperformed linear regression, with random forest and extreme gradient boosting performing particularly well, while the performance levels of all nonlinear methods remained comparable. Mixed-effects models provided a more generalized, albeit slightly smaller prediction performance when tested on unknown groups. Finally, this study motivates the use of cross-validation with special splitting for analyzing small imbalanced datasets. KW - Acoustical properties KW - Audiometry KW - Psychological acoustics KW - Acoustic ecology KW - Artificial neural networks KW - Machine learning KW - Urban development KW - Finite-element analysis KW - Regression analysis KW - Statistical analysis KW - Akustische Eigenschaft KW - Audiometrie KW - Psychoakustik KW - Neuronales Netz KW - Maschinelles Lernen KW - Stadtentwicklung KW - Finite-Elemente-Methode KW - Regressionsanalyse KW - Statistische Analyse Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-48849 SN - 1520-8524 VL - 157 IS - 1 SP - 234 EP - 255 PB - AIP Publishing ER - TY - CHAP A1 - Wilczek, Tobias A1 - Steffens, Jochen A1 - Weinzierl, Stefan ED - Lautenbach, Margriet ED - Witew, Ingo B. ED - de Vries, Diemer ED - Hornikx, Maarten T1 - Room acoustics, soundscapes and customer satisfaction in restaurants – a field study T2 - Proceedings of the International Symposium on Room Acoustics (ISRA) 2019, Amsterdam, Netherlands. Y1 - 2019 SN - 978-90-9032895-9 U6 - https://doi.org/10.18154/RWTH-CONV-240148 SP - 854 EP - 857 PB - Nederlands Akoestisch Genootschap CY - Heerde ER -