Publications

Barumerli, R., Majdak, P., Geronazzo, M., Meijer, D., Avanzini, F. & Baumgartner, R. (2023) A Bayesian model for human directional localization of broadband static sound sources, Acta Acoustica, Vol 7., Article 12. https://doi.org/10.1051/aacus/2023006

Engel, I., Daugintis, R., Vicente, T., Hogg, A., Pauwels, J., Tournier, A. J., & Picinali, L. (2023) The SONICOM HRTF Dataset, Journal of the Audio Engineering Society, Vol 21, No.5. https://doi.org/10.17743/jaes.2022.0066

Pauwels, J. & Picinali, L. (2023) On The Relevance Of The Differences Between HRTF Measurement Setups For Machine Learning, ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP49357.2023.10096689

Daugintis, R., Barumerli, R., Picinali, L. & Geronazzo M. (2023) Classifying Non-Individual Head-Related Transfer Functions with A Computational Auditory Model: Calibration And Metrics. ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. https://doi.org/10.1109/ICASSP49357.2023.10095152

Picinali L. & Katz, B. (2023) System-to-User and User-to-System Adaptations in Binaural Audio. Sonic Interactions in Virtual Environments, pp.115-143. https://dx.doi.org/10.1007/978-3-031-04021-4_4

Siripornpitak, P., Engel, I., Squires, I., Cooper, S.J., & Picinali, L. (2022) Spatial up-sampling of HRTF sets using generative adversarial networks: A pilot study. Frontiers in Signal Processing, 2. https://doi.org/10.3389/frsip.2022.904398

Majdak, P., Hollomey, C., & Baumgartner, R. (2022). AMT 1.x: A toolbox for reproducible research in auditory modeling. Acta Acustica, 6. https://doi.org/10.1051/aacus/2022011

Osses Vecchi, A., Varnet, L., Carney, L. H., Dau, T., Bruce, I. C., Verhulst, S., & Majdak, P. (2022). A comparative study of eight human auditory models of monaural processing. Acta Acustica, 6. https://doi.org/10.1051/aacus/2022008

Bona, R., Fantini, D., Presti, G., Tiraboschi, M., Engel, I. & Avanzini, F. (2022) Automatic Parameters Tuning of Late Reverberation Algorithms for Audio Augmented Reality. AM ’22: Proceedings of the 17th International Audio Mostly Conference. https://doi.org/10.1145/3561212.3561236

Engel, I. & Picinali, L. (2022) Reverberation and its Binaural Reproduction: The Trade-off between Computational Efficiency and Perceived Quality. Advances in Fundamental and Applied Research on Spatial Audio. https://doi.org/10.5772/intechopen.101940

Pollack, K., Kreuzer, W. & Majdak, P. (2022) Modern Acquisition of Personalised Head-Related Transfer Functions – An Overview. Advances in Fundamental and Applied Research on Spatial Audio. https://doi.org/10.5772/intechopen.102908

Stitt, P., & Katz, B. G. (2021). Sensitivity analysis of pinna morphology on head-related transfer functions simulated via a parametric pinna model. The Journal of the Acoustical Society of America, 4(149), 2559, https://doi.org/10.1121/10.0004128.

McLachlan, G., Majdak, P., Reijniers, J., & Peremans, H. (2021). Towards modelling active sound localisation based on Bayesian inference in a static environment. Acta Acustica, 5. https://doi.org/10.1051/aacus/2021039

Pollack, K. & Majdak, P. (2021) Evaluation of a parametric pinna model for the calculation of head-related transfer functions. 2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA). https://doi.org/10.1109/I3DA48870.2021.9610885

Fantini, D., Avanzini, F., Ntalampiras, S. & Presti, G. (2021) HRTF Individualization Based on Anthropometric Measurements Extracted from 3D Head Meshes. 2021 Immersive and 3D Audio: from Architecture to Automotive (I3DA) https://doi.org/10.1109/I3DA48870.2021.9610904

Pollack, K., Brinkmann, F., Majdak, P. & Kreuzer, W. (2021) From photos to personalized spatial audio playback. Elektrotechnik und Informationstechnik, 138 (250-255). https://doi.org/10.1007/s00502-021-00891-4