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Emilia Parada-Cabaleiro
Emilia Parada-Cabaleiro
Nuremberg University of Music
Bestätigte E-Mail-Adresse bei hfm-nuernberg.de - Startseite
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Zitiert von
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Jahr
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
1012021
Audio self-supervised learning: A survey
S Liu, A Mallol-Ragolta, E Parada-Cabaleiro, K Qian, X Jing, A Kathan, ...
Patterns 3 (12), 2022
822022
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
652020
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
372018
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
312022
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
312020
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
282018
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
282018
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
272019
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
262023
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
212022
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
202019
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
202017
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
192021
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
182021
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
182017
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
132017
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
12*2018
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
112022
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
102021
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