@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} } @inproceedings{VersuemerBlaettermannSteffens2025, author = {Vers{\"u}mer, Siegbert and Bl{\"a}ttermann, Patrick and Steffens, Jochen}, title = {Nonlinearities in generalized models based on different soundscape datasets [Abstract]}, series = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, booktitle = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, year = {2025}, subject = {Soundscape}, language = {en} } @inproceedings{BlaettermannVersuemerSteffens2025, author = {Bl{\"a}ttermann, Patrick and Vers{\"u}mer, Siegbert and Steffens, Jochen}, title = {Loadings of Acoustical Metrics on Soundscape Items and their relation to Soundscape Dimensions across different datasets [Abstract]}, series = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, booktitle = {DAS|DAGA 2025: 51st Annual Meeting on Acoustics, March 17-20, 2025, Copenhagen}, publisher = {Deutsche Gesellschaft f{\"u}r Akustik e.V.}, address = {Berlin}, year = {2025}, subject = {Soundscape}, language = {en} } @article{SteffensBlaettermannSattleretal.2025, author = {Steffens, Jochen and Bl{\"a}ttermann, Patrick and Sattler, Maximilian and Tang, Kevin}, title = {How does a credible voice sound?}, series = {The Journal of the Acoustical Society of America}, volume = {157}, journal = {The Journal of the Acoustical Society of America}, number = {5}, publisher = {Acoustical Society of America}, issn = {1520-8524}, doi = {10.1121/10.0036646}, url = {http://nbn-resolving.de/urn:nbn:de:hbz:due62-opus-53133}, pages = {3780 -- 3792}, year = {2025}, abstract = {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.}, subject = {Sprechen}, language = {en} }