TY - RPRT A1 - Vogel, Peter A1 - Blättermann, Patrick T1 - Investieren unter Nebenbedingungen - Teil 5: Auswahl von Aktien, Datenqualität und Statistik-Ergebnisse T3 - Trading - 5 KW - Trading Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-28848 SN - 2567-2347 CY - Düsseldorf ER - TY - JOUR A1 - Versümer, Siegbert A1 - Steffens, Jochen A1 - Blättermann, Patrick A1 - Becker-Schweitzer, Jörg T1 - Modelling evaluations of low-level sounds in everyday situations using linear machine learning for variable selection JF - Frontiers in Psychology KW - DOAJ Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-23779 SN - 1664-1078 N1 - Supplementary Material The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.570761/full#supplementary-material VL - 11 PB - Frontiers ER - TY - CHAP A1 - Versümer, Siegbert A1 - Steffens, Jochen A1 - Blättermann, Patrick T1 - Subjektive Lautheitsbewertung unter Einfluss situativer und personenbezogener Faktoren T2 - Deutsche Jahrestagung für Akustik (DAGA) Y1 - 2022 CY - Stuttgart ER - TY - INPR A1 - Ptasczynski, Lena Esther A1 - Blättermann, Patrick A1 - Greb, Fabian A1 - Sterzer, Philipp A1 - Steffens, Jochen T1 - The vibe of musical and social reward: Listening to beat-based music acts as a surrogate for socioemotional support during the Covid-19 pandemic T2 - Research Square N2 - Music listening is subjectively efficient in surrogating socioemotional needs during the Covid-19 pandemic, although underlying mechanisms remain unclear. We here challenge the generalizability of music-based coping by testing whether the insufficient satisfaction of distinct needs during the first lockdown entails enhanced listening to beat-based music with medium complexity (BBMMC) stimulating the cortico-striatal reward circuit and triggering oxytocinergic propagation. A Quasi-Bayesian mediation analysis on open-source data revealed that, across 11 European countries, more severe social distancing measures evoke a decline in experienced social provision (SP), in turn provoking BBMMC preferences. The latter was best predicted by the SP dimensions of social reward and attachment, suggesting that the partial overlap in neurophysiological processing at dopaminergic and oxytocinergic sites enables BBMMC to specifically alleviate these socioemotional needs, which has important implications for the development of mental health interventions. Finally, a stress-alleviating effect of BBMMC was found pointing towards HPA-activity modulation through music listening. KW - Psychoakustik KW - COVID-19-Pandemie KW - Bewältigung KW - Soziales Bedürfnis KW - Emotionales Bedürfnis KW - Musikpsychologie KW - Psychische Gesundheit Y1 - 2023 U6 - https://doi.org/10.21203/rs.3.rs-2529116/v1 PB - Research Square ET - v1 ER - TY - GEN A1 - Ptasczynski, Lena Esther A1 - Blättermann, Patrick A1 - Greg, Fabian A1 - Sterzer, Philipp A1 - Steffens, Jochen T1 - Dataset related to the paper "The vibe of musical and social reward: Listening to beat-based music acts as a surrogate for socioemotional support during the Covid-19 pandemic" N2 - The set includes data related to the paper "The vibe of musical and social reward: Listening to beat-based music acts as a surrogate for socioemotional support during the Covid-19 pandemic" *************** Information *************** Dataset of the related text publication: https://doi.org/10.21203/rs.3.rs-2529116/v1 Y1 - 2023 UR - https://doi.org/10.21203/rs.3.rs-2529116/v1 U6 - https://doi.org/10.5281/zenodo.7669360 PB - Zenodo ET - v0.9 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 - GEN A1 - Rosenthal, Fabian A1 - Versümer, Siegbert A1 - Blättermann, Patrick T1 - flexcv: Easy and flexible nested cross validation for tabular data in python N2 - Python package customizing nested cross validation for tabular data. KW - Software KW - Python (Programmiersprache) Y1 - 2024 U6 - https://doi.org/10.5281/zenodo.10160846 PB - Zenodo CY - Genf ET - Version v24.0-beta ER - TY - GEN A1 - Steffens, Jochen A1 - Blättermann, Patrick A1 - Sattler, Maximilian A1 - Tang, Kevin T1 - How does a credible voice sound? [Project Repository] N2 - A project repository for the paper: Steffens, Blättermann, Sattler and Tang (2025, "How does a credible voice sound?"). It contains three components: the dataset, data analyses and the materials to elicit the speech data. KW - Sprechen KW - Glaubwürdigkeit KW - Akustik Y1 - 2025 UR - https://osf.io/mtcuh/ UR - https://opus4.kobv.de/opus4-hs-duesseldorf/frontdoor/index/index/docId/5313 U6 - https://doi.org/10.17605/OSF.IO/MTCUH PB - Open Science Framework ER - TY - CHAP A1 - Rosenthal, Fabian A1 - Blättermann, Patrick A1 - Versümer, Siegbert T1 - flexcv: Python package for fitting, comparing, and logging multiple machine learning models using various cross-validation methods [Poster] T2 - Fortschritte der Akustik - DAGA 2024, 18. - 21. März 2024, Hannover N2 - The evaluation of listening experiments and studies on acoustics not only requires basic knowledge of statistics, but also poses challenges in the implementation of different methodologies. Especially for small sample sizes and peculiarities regarding hierarchical data structures, the need to individualize evaluation scripts arises. Therefore, we introduce flexcv, a powerful machine learning package for Python for evaluating various models on experimental tabular data, especially with small sample sizes. It supports random effects evaluation (including random slopes) for both linear and non-linear regressors, providing broad applicability to different experiments and research questions.flexcv quickly allows to perform nested cross-validation on a variety of models for comparison with each other. On the one hand, the implementation of a flexible interface simplifies the exchange of methods in the script, allowing researchers to change cross-validation methods without having to touch the actual cross-validation code. On the other hand, extensive online logging allows and simplifies the evaluation and experiment tracking along the process and different machines. Y1 - 2024 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Steffens, Jochen A1 - Blättermann, Patrick A1 - Joschko, Marcel T1 - Exploring Album Dramaturgy: A Computational Music Analysis Across Pop Music History [Abstract] T2 - escom12 - The 12th Triennial Conference of the European Society for the Cognitive Sciences of Music: Book of Abstracts N2 - Background A musical album can be considered a central artwork of an artist, and the order of its songs can influence the way the album is perceived by the listener. That is, purposeful sequencing can create an emotional journey and suspense (Lehne & Kölsch, 2015), tell a story or reinforce a particular concept or theme in the artist's music. Aim(s) This study thus aimed on examining the evolution of albums over the course of pop music history and on unveiling patterns (i.e. clusters) and temporal shifts in emotion- related album dramaturgy dependent on the cultural context (in terms of genres) by utilizing advanced computational methods. Methods We first created a dataset by scraping titles and artists of the weekly Top 10 albums (n = 14.394) from the Billboard.com charts from 1957 to 2022. We further extracted the emotion-related audio descriptors ‘valence’ and ‘energy’ from the Spotify Developer API for each track of the corresponding album, resulting in two-dimensional time series. We then employed Deep Time Series Embedding Clustering (DeTSEC; lenco et al., 2020) which can handle multivariate time series of different length. Finally, k-means clustering was applied on the embeddings produced by the DeTSEC, resulting in a 12 cluster solution. Results To facilitate the interpretation of our solution, we determined the most representative album of a cluster using the smallest Euclidean distance to its centroid. Preliminary time series analysis of the resulting 12 albums confirm different emotional trajectories of the respective clusters, for instance showing decreasing valence and arousal values over time for “I am up” by Young Thug (Cluster 6) or highest valence and arousal values at the beginning and the end of the album for“The New Classic” by Iggy Azalea (Cluster 12). Furthermore, Chi² tests revealed significant associations between an album’s cluster membership and both its year of release and its genre. Discussion and Conclusion The study constitutes a first step in shedding light on the evolution of albums in modern popular music since its emergence. It further provides an insight into how temporal dramaturgies in terms of the emotion-related arrangement of songs of albums differ across genres and undergo cultural trends and temporal shifts. References Ienco D, & Interdonato R (2020). Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder. Advances in Knowledge Discovery and Data Mining. 318–329 Lehne, M., & Koelsch, S. (2015). Toward a general psychological model of tension and suspense. Frontiers in Psychology, 6, 79. KW - Popmusik KW - Dramaturgie Y1 - 2024 U6 - https://doi.org/10.25364/602.2024.3 SP - 245 EP - 246 PB - Universität Graz CY - Graz ER - TY - CHAP A1 - Versümer, Siegbert A1 - Blättermann, Patrick T1 - Predicting real indoor soundscapes based on auditory and non-auditory factors across different loudness ranges with linear and nonlinear models T2 - INTER-NOISE and NOISE-CON Congress and Conference Proceedings, Conference Proceeding 8, 4 October 2024 KW - Soundscape KW - Lautstärke KW - Psychoakustik Y1 - 2024 U6 - https://doi.org/10.3397/IN_2024_3386 SP - 3882 EP - 3892 PB - Institute of Noise Control Engineering ER - TY - CHAP A1 - Versümer, Siegbert A1 - Blättermann, Patrick A1 - Steffens, Jochen T1 - Nonlinearities in generalized models based on different soundscape datasets [Abstract] T2 - DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen KW - Soundscape KW - Datenanalyse KW - Regressionsanalyse KW - Lineares Regressionsmodell KW - Nichtlineares Regressionsmodell KW - Verallgemeinertes Regressionsmodell Y1 - 2025 UR - https://pub.dega-akustik.de/DAS-DAGA_2025/konferenz-2008.html?article=433 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - CHAP A1 - Blättermann, Patrick A1 - Versümer, Siegbert A1 - Steffens, Jochen T1 - Loadings of Acoustical Metrics on Soundscape Items and their relation to Soundscape Dimensions across different datasets [Abstract] T2 - DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen KW - Soundscape KW - Psychoakustik KW - Datenanalyse KW - Maschinelles Lernen Y1 - 2025 UR - https://pub.dega-akustik.de/DAS-DAGA_2025/konferenz-2007.html?article=383 PB - Deutsche Gesellschaft für Akustik e.V. CY - Berlin ER - TY - JOUR A1 - Steffens, Jochen A1 - Blättermann, Patrick A1 - Sattler, Maximilian A1 - Tang, Kevin T1 - How does a credible voice sound? JF - The Journal of the Acoustical Society of America N2 - Credibility is a crucial social factor that influences people's perception and decision-making. This study explores the acoustic attributes that define credible speech compared to neutral and ironic speech. A custom-built German corpus was developed, containing speech samples recorded from amateurs to enhance ecological validity. The study extracted a broad set of audio features from these samples, employing recursive feature elimination to identify the most influential attributes. These were then analyzed using a machine-learning-supported multinomial logistic regression model. The results indicated significant differences in the acoustic features associated with credible speech compared to neutral and ironic speech. Key findings include the role of a higher energy level (1st mel-frequency cepstral coefficient) in credible compared to neutral and ironic speech and a higher speaking rate in both credible and ironic compared to neutral speech. Also, irony is characterized by more high-frequency content (mean spectral centroid) compared to credible or neutral speech. Gender differences in spoken irony involve a greater influence of speaking rate in women's speech, while high pitch plays a more significant role in men's speech. This research thus contributes to the understanding of how credibility is conveyed through speech and offers insights for applications in communication, media, and artificial intelligence. The study also highlights the methodological advancements made by incorporating a diverse range of acoustic features and employing a robust machine-learning framework. KW - Sprechen KW - Glaubwürdigkeit KW - Akustik Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-53133 SN - 1520-8524 VL - 157 IS - 5 SP - 3780 EP - 3792 PB - Acoustical Society of America ER -