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Publications

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SONICOM Publications

The SONICOM project is committed to publishing open access scientific papers.

The publications list below will grow over the course of the project and all are freely accessible and acknowledge SONICOM’s funding body, the European Commission.

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.

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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

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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

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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

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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

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