Project A5 - Model-based diagnostics and hearing aid fitting in complex acoustic scenarios
Project A5 - Model-based diagnostics and hearing aid fitting in complex acoustic scenarios
The long-term goal of this project is to establish a model-based theory-driven framework for internationally compatible hearing diagnostics and rehabilitation in real life-matched scenarios. In order to close the gap between the laboratory and real life conditions this project will focus on the extension of patient performance measurements by including audio and audio-visual measurements in acoustically complex scenes simulating dynamic real life scenarios.
Moreover, to make selection and fitting of hearing devices in a more theory and controlled manner, a theory-driven model-based approach based on automatic speech recognition system will be applied. This knowledge will be used for better individualization of hearing aid settings.
Publications
2024
- Gerken M, Hohmann V, Grimm G (2024) Comparison of 2D and 3D multichannel audio rendering methods for hearing research applications using technical and perceptual measures. Acta Acustica 8: 17. DOI: 10.1051/aacus/2024009
- Gerken M, Kirsch C, Schütze J, Ewert SD, Warzybok A (2024) Speech recognition predictions for measured and simulated binaural room impulse responses. Proceedings DAGA 2024 Hannover, 18.-21.03.2024, pp 214-217. https://pub.dega-akustik.de/DAGA_2024/files/upload/paper/608.pdf
- Scharf MK, Huber R, Schulte M, Kollmeier B (2024) Microphone calibration estimation for mobile audiological tests with resonating bottles. International Journal of Audiology (Epub ahead of print). DOI: 10.1080/14992027.2024.2395416
2023
- Minelli G, Puglisi GE, Astolfi A, Hauth C, Warzybok A (2023) Objective assessment of binaural benefit from acoustical treatment in real primary school classrooms. Int J Environ Res Public Health 20(10):5848. DOI: 10.3390/ijerph20105848
- Puglisi GE, Hauth C, Minelli G, Astolfi A, Warzybok A (2023) Prediction methods for the assessment of binaural speech intelligibility in classrooms. 10th Convention of the European Acoustics Association (Forum Acusticum), 11.-15.09.2023, Turin, Italy, pp. 1579-1585. DOI: 10.61782/fa.2023.0868
2022
- Rennies J, Warzybok A, Kollmeier B, Brand T (2022) Spatio-temporal integration of speech reflections in hearing-impaired listeners, Trends in Hearing 26: 23312165221143901 (18 pages). DOI: 10.1177/23312165221143901
2021
- Hülsmeier D, Hauth CF, Röttges S, Kranzusch P, Roßbach J, Schädler MR, Meyer BT, Warzybok A, Brand T (2021) Towards non-intrusive prediction of speech recognition thresholds in binaural conditions. 14th ITG Conference on Speech Communication, Kiel, 29 September-1 October 2021, 199-203. ieeexplore.ieee.org/abstract/document/9657531
- Minelli G, Puglisi GE, Astolfi A, Hauth C, Warzybok A (2021) Binaural speech intelligibility in a real elementary classroom. 8th International Building Physics Conference. Copenhagen, Denmark, 25-27 August 2021. DOI: 10.1088/1742-6596/2069/1/012165
- Puglisi GE, Warzybok A, Astolfi A, Kollmeier B (2021) Effect of competitive acoustic environments on speech intelligibility. 8th International Building Physics Conference. Copenhagen, Denmark, 25-27 August 2021. DOI: 10.1088/1742-6596/2069/1/012162
- Puglisi GE, Warzybok A, Astolfi A, Kollmeier B (2021) Effect of reverberation and noise type on speech intelligibility in real complex acoustic scenarios. Building and Environment 204:108137. DOI: 10.1016/j.buildenv.2021.108137
- Rennies J, Warzybok A, Kollmeier B, Brand T (2021) Spatio-temporal integration of speech reflections in listeners with sensorineural hearing loss. Proceedings DAGA 2021, Wien 15.-18.08.2021, pp 449-450. https://pub.dega-akustik.de/DAGA_2021/data/articles/000079.pdf
- Warzybok A, Rennies J, Kollmeier B (2021) Contribution of low-level acoustic and higher-level lexical-semantic cues to speech recognition in noise and reverberation. Front. Built Environ. 7:689388. DOI: 10.3389/fbuil.2021.689388
2020
- Schädler MR, Kranzusch P, Hauth C, Warzybok A (2020) Simulating spatial speech recognition performance with anautomatic-speech-recognition-based model. Proc. DAGA 2020, 908-911. https://pub.dega-akustik.de/DAGA_2020/data/articles/000414.pdf
2019
- Rennies J, Warzybok A, Brand T, Kollmeier B (2019) Measurement and prediction of binaural-temporal integration of speech reflections. Trends Hear 23: 2331216519854267, 1-22. DOI: 10.1177/2331216519854267