Emilia Parada-Cabaleiro
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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
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
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
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
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
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
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
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
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
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
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
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
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments
E Parada-Cabaleiro, A Baird, N Cummins, BW Schuller
Proc. of ICME 2017, 1051-1056, 2017
Audio self-supervised learning: A survey
S Liu, A Mallol-Ragolta, E Parada-Cabeleiro, K Qian, X Jing, A Kathan, ...
arXiv preprint arXiv:2203.01205, 2022
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
The perception of emotion in the singing voice: The understanding of music mood for music organisation
E Parada-Cabaleiro, A Baird, A Batliner, N Cummins, S Hantke, ...
Proceedings of the 4th International Workshop on Digital Libraries for …, 2017
The perceived emotion of isolated synthetic audio: The EmoSynth dataset and results
A Baird, E Parada-Cabaleiro, C Fraser, S Hantke, B Schuller
Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 1-8, 2018
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?
K Krieg, E Parada-Cabaleiro, M Schedl, N Rekabsaz
arXiv preprint arXiv:2203.01731, 2022
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results
K Krieg, E Parada-Cabaleiro, G Medicus, O Lesota, M Schedl, ...
arXiv preprint arXiv:2201.07754, 2022
Predicting music relistening behavior using the ACT-R framework
M Reiter-Haas, E Parada-Cabaleiro, M Schedl, E Motamedi, M Tkalcic, ...
Fifteenth ACM Conference on Recommender Systems, 702-707, 2021
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