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ORCIDEmilia Parada-Cabaleiro
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- affiliation: Nuremberg University of Music, Department of Music Pedagogy, Germany
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2020 – today
- 2025
[j13]Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl:
The impact of playlist characteristics on coherence in user-curated music playlists. EPJ Data Sci. 14(1): 24 (2025)- [j12]Tianhao Yan
, Hao Meng, Emilia Parada-Cabaleiro, Jianhua Tao, Taihao Li, Björn W. Schuller:
A Residual Multi-Scale Convolutional Neural Network With Transformers for Speech Emotion Recognition. IEEE Trans. Affect. Comput. 16(2): 915-932 (2025) - [c36]Anna Hausberger, Emilia Parada-Cabaleiro, Markus Schedl:
Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical Preferences. UMAP 2025: 352-357 - [d2]Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion. Version 2. Zenodo, 2025 [all versions]
- [i8]Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle:
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. CoRR abs/2502.13763 (2025) - 2024
- [c35]Emilia Parada-Cabaleiro:
Techville's Chronicles: A Music Pedagogy Project to Foster Children's AI Literacy Through Co-Creativity and Multimedia Storytelling. CSEDU (1) 2024: 623-630 - [c34]Meishu Song, Ilhan Aslan, Emilia Parada-Cabaleiro, Zijiang Yang, Elisabeth André, Yoshiharu Yamamoto, Björn W. Schuller:
Lecture Video Highlights Detection from Speech. EUSIPCO 2024: 361-365 - [c33]Meishu Song, Xin Jing, Emilia Parada-Cabaleiro, Zijiang Yang, Yoshiharu Yamamoto, Björn W. Schuller:
Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction. EUSIPCO 2024: 596-600 - [c32]Pedro Ramoneda, Vsevolod Eremenko, Alexandre D'Hooge, Emilia Parada-Cabaleiro, Xavier Serra:
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-Efficient Approach. ISMIR 2024: 520-528 - [i7]Pedro Ramoneda, Vsevolod Eremenko, Alexandre D'Hooge, Emilia Parada-Cabaleiro, Xavier Serra:
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach. CoRR abs/2408.00473 (2024) - [i6]Pedro Ramoneda, Emilia Parada-Cabaleiro, Benno Weck, Xavier Serra:
The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines? CoRR abs/2409.01864 (2024) - 2023
- [j11]Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Fritzl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl:
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. Int. J. Multim. Inf. Retr. 12(1): 13 (2023) - [j10]Rodrigo Mira, Eduardo Coutinho, Emilia Parada-Cabaleiro, Björn W. Schuller:
Automated composition of Galician Xota - tuning RNN-based composers for specific musical styles using deep Q-learning. PeerJ Comput. Sci. 9: e1356 (2023) - [c31]Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz:
Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. CHIIR 2023: 444-448 - [c30]Raisa Romanov Geleta, Klaus Eckelt, Emilia Parada-Cabaleiro, Markus Schedl:
Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI. LDK 2023: 532-537 - 2022
- [j9]Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W. Schuller:
Correction to: The perception of emotional cues by children in artificial background noise. Int. J. Speech Technol. 25(1): 289 (2022) - [j8]Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio self-supervised learning: A survey. Patterns 3(12): 100616 (2022) - [j7]Giovanni Costantini, Emilia Parada-Cabaleiro, Daniele Casali, Valerio Cesarini:
The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning. Sensors 22(7): 2461 (2022) - [j6]Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Björn W. Schuller:
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. IEEE J. Biomed. Health Informatics 26(8): 4291-4302 (2022) - [c29]Xin Jing, Shuo Liu, Emilia Parada-Cabaleiro, Andreas Triantafyllopoulos, Meishu Song, Zijiang Yang, Björn W. Schuller:
A Temporal-oriented Broadcast ResNet for COVID-19 Detection. BHI 2022: 1-5 - [c28]Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz:
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? BIAS 2022: 104-116 - [c27]Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz:
LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. CHIIR 2022: 337-341 - [c26]Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. CIKM 2022: 4339-4343 - [c25]Tianhao Yan, Hao Meng, Shuo Liu, Emilia Parada-Cabaleiro, Zhao Ren, Björn W. Schuller:
Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds. ICASSP 2022: 9092-9096 - [c24]Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl:
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. ISMIR 2022: 291-297 - [c23]Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl:
EmoMTB: Emotion-aware Music Tower Blocks. ICMR 2022: 206-210 - [d1]Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl:
Music4All-Onion. Version v0. Zenodo, 2022 [all versions] - [i5]Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz:
Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results. CoRR abs/2201.07754 (2022) - [i4]Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio Self-supervised Learning: A Survey. CoRR abs/2203.01205 (2022) - [i3]Klara Krieg, Emilia Parada-Cabaleiro, Markus Schedl, Navid Rekabsaz:
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? CoRR abs/2203.01731 (2022) - [i2]Xin Jing, Shuo Liu, Emilia Parada-Cabaleiro, Andreas Triantafyllopoulos, Meishu Song, Zijiang Yang, Björn W. Schuller:
A Temporal-oriented Broadcast ResNet for COVID-19 Detection. CoRR abs/2203.17012 (2022) - 2021
- [j5]Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada-Cabaleiro, Stefan Brandl, Oleg Lesota, Markus Schedl:
Investigating gender fairness of recommendation algorithms in the music domain. Inf. Process. Manag. 58(5): 102666 (2021) - [j4]Shuo Liu, Gil Keren, Emilia Parada-Cabaleiro, Björn W. Schuller:
N-HANS: A neural network-based toolkit for in-the-wild audio enhancement. Multim. Tools Appl. 80(18): 28365-28389 (2021) - [j3]Meishu Song, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Zhao Ren, Ziping Zhao, Björn W. Schuller:
Frustration recognition from speech during game interaction using wide residual networks. Virtual Real. Intell. Hardw. 3(1): 76-86 (2021) - [c22]Giovanni Costantini, Emilia Parada-Cabaleiro, Daniele Casali:
Automatic Emotion Recognition from DEMoS Corpus by Machine Learning Analysis of Selected Vocal Features. BIOSIGNALS 2021: 357-364 - [c21]Meishu Song, Emilia Parada-Cabaleiro, Shuo Liu, Manuel Milling, Alice Baird, Zijiang Yang, Björn W. Schuller:
Supervised Contrastive Learning for Game-Play Frustration Detection from Speech. HCI (7) 2021: 617-629 - [c20]Meishu Song, Kun Qian, Bin Chen, Keiju Okabayashi, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Kazumasa Togami, Ichiro Hidaka, Yueheng Wang, Björn W. Schuller, Yoshiharu Yamamoto:
Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. ICDSP 2021: 140-145 - [c19]Tianhao Yan, Hao Meng, Emilia Parada-Cabaleiro, Shuo Liu, Meishu Song, Björn W. Schuller:
Coughing-Based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks. Interspeech 2021: 4154-4158 - [c18]Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller, Markus Schedl:
Automatic Recognition of Texture in Renaissance Music. ISMIR 2021: 509-516 - [c17]Harald Victor Schweiger, Emilia Parada-Cabaleiro, Markus Schedl:
Does Track Sequence in User-generated Playlists Matter?. ISMIR 2021: 618-625 - [c16]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys 2021: 702-707 - [i1]Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR abs/2108.02138 (2021) - 2020
- [j2]Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W. Schuller:
The perception of emotional cues by children in artificial background noise. Int. J. Speech Technol. 23(1): 169-182 (2020) - [j1]Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Maximilian Schmitt, Björn W. Schuller:
DEMoS: an Italian emotional speech corpus. Lang. Resour. Evaluation 54(2): 341-383 (2020) - [c15]Zijiang Yang, Shuo Liu, Meishu Song, Emilia Parada-Cabaleiro, Björn W. Schuller:
Adventitious Respiratory Classification Using Attentive Residual Neural Networks. INTERSPEECH 2020: 2912-2916 - [c14]Paula Muñoz-Lago, Nicola Usula, Emilia Parada-Cabaleiro, Álvaro Torrente:
Visualising the Structure of 18th Century Operas: A Multidisciplinary Data Science Approach. IV 2020: 530-536 - [c13]Paula Muñoz-Lago, Ana Llorens, Emilia Parada-Cabaleiro, Álvaro Torrente:
SymPlot: A Web-Tool to Visualise Symbolic Musical Data. IV 2020: 537-543
2010 – 2019
- 2019
- [c12]Meishu Song, Zijiang Yang, Alice Baird, Emilia Parada-Cabaleiro, Zixing Zhang, Ziping Zhao, Björn W. Schuller:
Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database. ACII 2019: 517-523 - [c11]Emilia Parada-Cabaleiro, Anton Batliner, Björn W. Schuller:
A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation. ISMIR 2019: 557-564 - 2018
- [c10]Alice Baird, Emilia Parada-Cabaleiro, Cameron Fraser, Simone Hantke, Björn W. Schuller:
The Perceived Emotion of Isolated Synthetic Audio: The EmoSynth Dataset and Results. Audio Mostly Conference 2018: 7:1-7:8 - [c9]Alice Baird, Emilia Parada-Cabaleiro, Simone Hantke, Felix Burkhardt, Nicholas Cummins, Björn W. Schuller:
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. INTERSPEECH 2018: 2863-2867 - [c8]Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Alice Baird, Björn W. Schuller:
Categorical vs Dimensional Perception of Italian Emotional Speech. INTERSPEECH 2018: 3638-3642 - [c7]Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus R. Scherer, Björn W. Schuller:
Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions. ISMIR 2018: 376-382 - [c6]Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller:
Musical-Linguistic Annotations of Il Lauro Secco. ISMIR 2018: 461-467 - 2017
- [c5]Alice Baird, Stina Hasse Jørgensen, Emilia Parada-Cabaleiro, Simone Hantke, Nicholas Cummins, Björn W. Schuller:
Perception of Paralinguistic Traits in Synthesized Voices. Audio Mostly Conference 2017: 17:1-17:5 - [c4]Emilia Parada-Cabaleiro, Alice Baird, Nicholas Cummins, Björn W. Schuller:
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments. ICME 2017: 1051-1056 - [c3]Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller:
The Perception of Emotions in Noisified Nonsense Speech. INTERSPEECH 2017: 3246-3250 - [c2]Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller:
The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation. DLfM 2017: 29-36 - [c1]Emilia Parada-Cabaleiro, Anton Batliner, Alice Baird, Björn W. Schuller:
The SEILS Dataset: Symbolically Encoded Scores in Modern-Early Notation for Computational Musicology. ISMIR 2017: 575-581
Coauthor Index
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last updated on 2025-11-08 02:08 CET by the dblp team
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