| Investigating gender fairness of recommendation algorithms in the music domain AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ... Information Processing & Management 58 (5), 102666, 2021 | 114 | 2021 |
| Audio self-supervised learning: A survey S Liu, A Mallol-Ragolta, E Parada-Cabaleiro, K Qian, X Jing, A Kathan, ... Patterns 3 (12), 2022 | 90 | 2022 |
| DEMoS: An Italian emotional speech corpus E Parada-Cabaleiro, G Costantini, A Batliner, M Schmitt, BW Schuller Language Resources and Evaluation 54 (2), 341-383, 2020 | 70 | 2020 |
| The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. A Baird, E Parada-Cabaleiro, S Hantke, F Burkhardt, N Cummins, ... Proc. of Interspeech, 2018, 2863-2867, 2018 | 40 | 2018 |
| LFM-2b: A dataset of enriched music listening events for recommender systems research and fairness analysis M Schedl, S Brandl, O Lesota, E Parada-Cabaleiro, D Penz, N Rekabsaz Proceedings of the 2022 Conference on Human Information Interaction and …, 2022 | 37 | 2022 |
| Categorical vs Dimensional Perception of Italian Emotional Speech E Parada-Cabaleiro, G Costantini, A Batliner, A Baird, B Schuller Proc. of Interspeech, 2018, 3638-3642, 2018 | 34 | 2018 |
| Adventitious Respiratory Classification using Attentive Residual Neural Networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, BW Schuller Proc. of Interspeech 2020, Shanhai, China, 2912-2916, 2020 | 33 | 2020 |
| Grep-biasir: A dataset for investigating gender representation bias in information retrieval results K Krieg, E Parada-Cabaleiro, G Medicus, O Lesota, M Schedl, ... Proceedings of the 2023 Conference on Human Information Interaction and …, 2023 | 31 | 2023 |
| Audiovisual analysis for recognising frustration during game-play: introducing the multimodal game frustration database M Song, Z Yang, A Baird, E Parada-Cabaleiro, Z Zhang, Z Zhao, ... Proc. of ACII 2019, Cambridge, UK, 517-523, 2019 | 31 | 2019 |
| The perception of vocal traits in synthesized voices: Age, gender, and human likeness A Baird, SH Jørgensen, E Parada-Cabaleiro, N Cummins, S Hantke, ... Journal of the Audio Engineering Society 66 (4), 277-285, 2018 | 29 | 2018 |
| The emotion probe: On the universality of cross-linguistic and cross-gender speech emotion recognition via machine learning G Costantini, E Parada-Cabaleiro, D Casali, V Cesarini Sensors 22 (7), 2461, 2022 | 26 | 2022 |
| Predicting music relistening behavior using the ACT-R framework M Reiter-Haas, E Parada-Cabaleiro, M Schedl, E Motamedi, M Tkalcic, ... Proceedings of the 15th ACM Conference on Recommender Systems, 702-707, 2021 | 25 | 2021 |
| Frustration recognition from speech during game interaction using wide residual networks M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ... Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021 | 21 | 2021 |
| Perception of paralinguistic traits in synthesized voices A Baird, SH Jørgensen, E Parada-Cabaleiro, S Hantke, N Cummins, ... Proceedings of the 12th International Audio Mostly Conference on Augmented …, 2017 | 21 | 2017 |
| A diplomatic edition of il Lauro Secco: Ground truth for OMR of white mensural notation E Parada-Cabaleiro, A Batliner, B Schuller Proc. of ISMIR 2019, Delft, The Netherlands, 557-564, 2019 | 20 | 2019 |
| The Perception of Emotions in Noisified Nonsense Speech. E Parada-Cabaleiro, A Baird, A Batliner, N Cummins, S Hantke, ... Proc. of Interspeech 2017, 3246-3250, 2017 | 18 | 2017 |
| Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? K Krieg, E Parada-Cabaleiro, M Schedl, N Rekabsaz International Workshop on Algorithmic Bias in Search and Recommendation, 104-116, 2022 | 16 | 2022 |
| N-HANS: A neural network-based toolkit for in-the-wild audio enhancement S Liu, G Keren, E Parada-Cabaleiro, B Schuller Multimedia Tools and Applications 80 (18), 28365-28389, 2021 | 13 | 2021 |
| Identifying emotions in opera singing: Implications of adverse acoustic conditions E Parada-Cabaleiro, M Schmitt, A Batliner, S Hantke, G Constantini, ... Proc. of ISMIR 2018, 376-382, 2018 | 13* | 2018 |
| The SEILS Dataset: Symbolically encoded scores in modern-early notation for computational musicology E Parada-Cabaleiro, A Batliner, A Baird, BW Schuller Proc. of ISMIR 2017, 575-581, 2017 | 13 | 2017 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERING在 tum.de 的电子邮件经过验证
