Perception of Paralinguistic Traits in Synthesized Voices. - Alice Baird; Stina Hasse Jørgensen; Emilia Parada-Cabaleiro; Simone Hantke; Nicholas Cummins; Björn W. Schuller (Audio Mostly Conference, 2017)

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments. - Emilia Parada-Cabaleiro; Alice Baird; Nicholas Cummins; Björn W. Schuller (ICME, 2017)

The Perception of Emotions in Noisified Nonsense Speech. - Emilia Parada-Cabaleiro; Alice Baird; Anton Batliner; Nicholas Cummins; Simone Hantke; Björn W. Schuller (INTERSPEECH, 2017)

The SEILS Dataset: Symbolically Encoded Scores in Modern-Early Notation for Computational Musicology. - Emilia Parada-Cabaleiro; Anton Batliner; Alice Baird; Björn W. Schuller (ISMIR, 2017)

The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation. - Emilia Parada-Cabaleiro; Alice Baird; Anton Batliner; Nicholas Cummins; Simone Hantke; Björn W. Schuller (DLfM, 2017)

The Perceived Emotion of Isolated Synthetic Audio: The EmoSynth Dataset and Results. - Alice Baird; Emilia Parada-Cabaleiro; Cameron Fraser; Simone Hantke; Björn W. Schuller (Audio Mostly Conference, 2018)

The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. - Alice Baird; Emilia Parada-Cabaleiro; Simone Hantke; Felix Burkhardt; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2018)

Categorical vs Dimensional Perception of Italian Emotional Speech. - Emilia Parada-Cabaleiro; Giovanni Costantini; Anton Batliner; Alice Baird; Björn W. Schuller (INTERSPEECH, 2018)

Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions. - Emilia Parada-Cabaleiro; Maximilian Schmitt; Anton Batliner; Simone Hantke; Giovanni Costantini; Klaus R. Scherer; Björn W. Schuller (ISMIR, 2018)

Musical-Linguistic Annotations of Il Lauro Secco. - Emilia Parada-Cabaleiro; Maximilian Schmitt; Anton Batliner; Björn W. Schuller (ISMIR, 2018)

Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database. - Meishu Song; Zijiang Yang 007; Alice Baird; Emilia Parada-Cabaleiro; Zixing Zhang 001; Ziping Zhao 001; Björn W. Schuller (ACII, 2019)

A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation. - Emilia Parada-Cabaleiro; Anton Batliner; Björn W. Schuller (ISMIR, 2019)

Adventitious Respiratory Classification Using Attentive Residual Neural Networks. - Zijiang Yang 007; Shuo Liu 012; Meishu Song; Emilia Parada-Cabaleiro; Björn W. Schuller (INTERSPEECH, 2020)

SymPlot: A Web-Tool to Visualise Symbolic Musical Data. - Paula Muñoz-Lago; Ana Llorens; Emilia Parada-Cabaleiro; Álvaro Torrente (IV, 2020)

Visualising the Structure of 18th Century Operas: A Multidisciplinary Data Science Approach. - Paula Muñoz-Lago; Nicola Usula; Emilia Parada-Cabaleiro; Álvaro Torrente (IV, 2020)

The perception of emotional cues by children in artificial background noise. - Emilia Parada-Cabaleiro; Anton Batliner; Alice Baird; Björn W. Schuller (Int. J. Speech Technol., 2020)

DEMoS: an Italian emotional speech corpus. - Emilia Parada-Cabaleiro; Giovanni Costantini; Anton Batliner; Maximilian Schmitt; Björn W. Schuller (Lang. Resour. Evaluation, 2020)

Automatic Emotion Recognition from DEMoS Corpus by Machine Learning Analysis of Selected Vocal Features. - Giovanni Costantini; Emilia Parada-Cabaleiro; Daniele Casali (BIOSIGNALS, 2021)

Supervised Contrastive Learning for Game-Play Frustration Detection from Speech. - Meishu Song; Emilia Parada-Cabaleiro; Shuo Liu 012; Manuel Milling; Alice Baird; Zijiang Yang 007; Björn W. Schuller (HCI (7), 2021)

Predicting Group Work Performance from Physical Handwriting Features in a Smart English Classroom. - Meishu Song; Kun Qian 003; Bin Chen; Keiju Okabayashi; Emilia Parada-Cabaleiro; Zijiang Yang 007; Shuo Liu 012; Kazumasa Togami; Ichiro Hidaka; Yueheng Wang; Björn W. Schuller; Yoshiharu Yamamoto (ICDSP, 2021)

Coughing-Based Recognition of Covid-19 with Spatial Attentive ConvLSTM Recurrent Neural Networks. - Tianhao Yan; Hao Meng; Emilia Parada-Cabaleiro; Shuo Liu 012; Meishu Song; Björn W. Schuller (Interspeech, 2021)

Automatic Recognition of Texture in Renaissance Music. - Emilia Parada-Cabaleiro; Maximilian Schmitt; Anton Batliner; Björn W. Schuller; Markus Schedl (ISMIR, 2021)

Does Track Sequence in User-generated Playlists Matter?. - Harald Victor Schweiger; Emilia Parada-Cabaleiro; Markus Schedl (ISMIR, 2021)

Predicting Music Relistening Behavior Using the ACT-R Framework. - Markus Reiter-Haas; Emilia Parada-Cabaleiro; Markus Schedl; Elham Motamedi; Marko Tkalcic; Elisabeth Lex (RecSys, 2021)

Investigating gender fairness of recommendation algorithms in the music domain. - Alessandro B. Melchiorre; Navid Rekabsaz; Emilia Parada-Cabaleiro; Stefan Brandl; Oleg Lesota; Markus Schedl (Inf. Process. Manag., 2021)

N-HANS: A neural network-based toolkit for in-the-wild audio enhancement. - Shuo Liu 012; Gil Keren; Emilia Parada-Cabaleiro; Björn W. Schuller (Multim. Tools Appl., 2021)

Frustration recognition from speech during game interaction using wide residual networks. - Meishu Song; Adria Mallol-Ragolta; Emilia Parada-Cabaleiro; Zijiang Yang 007; Shuo Liu 012; Zhao Ren; Ziping Zhao 001; Björn W. Schuller (Virtual Real. Intell. Hardw., 2021)

A Temporal-oriented Broadcast ResNet for COVID-19 Detection. - Xin Jing; Shuo Liu 012; Emilia Parada-Cabaleiro; Andreas Triantafyllopoulos; Meishu Song; Zijiang Yang 007; Björn W. Schuller (BHI, 2022)

Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? - Klara Krieg; Emilia Parada-Cabaleiro; Markus Schedl; Navid Rekabsaz (BIAS, 2022)

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis. - Markus Schedl; Stefan Brandl; Oleg Lesota; Emilia Parada-Cabaleiro; David Penz; Navid Rekabsaz (CHIIR, 2022)

Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (CIKM, 2022)

Convoluational Transformer With Adaptive Position Embedding For Covid-19 Detection From Cough Sounds. - Tianhao Yan; Hao Meng; Shuo Liu 012; Emilia Parada-Cabaleiro; Zhao Ren; Björn W. Schuller (ICASSP, 2022)

Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. - Oleg Lesota; Emilia Parada-Cabaleiro; Stefan Brandl; Elisabeth Lex; Navid Rekabsaz; Markus Schedl (ISMIR, 2022)

EmoMTB: Emotion-aware Music Tower Blocks. - Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Friztl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl (ICMR, 2022)

Correction to: The perception of emotional cues by children in artificial background noise. - Emilia Parada-Cabaleiro; Anton Batliner; Alice Baird; Björn W. Schuller (Int. J. Speech Technol., 2022)

Audio self-supervised learning: A survey. - Shuo Liu 012; Adria Mallol-Ragolta; Emilia Parada-Cabaleiro; Kun Qian 003; Xin Jing; Alexander Kathan; Bin Hu 001; Björn W. Schuller (Patterns, 2022)

The Emotion Probe: On the Universality of Cross-Linguistic and Cross-Gender Speech Emotion Recognition via Machine Learning. - Giovanni Costantini; Emilia Parada-Cabaleiro; Daniele Casali; Valerio Cesarini (Sensors, 2022)

Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. - Shuo Liu 012; Adria Mallol-Ragolta; Tianhao Yan; Kun Qian 003; Emilia Parada-Cabaleiro; Bin Hu 001; Björn W. Schuller (IEEE J. Biomed. Health Informatics, 2022)

Music4All-Onion. - Marta Moscati; Emilia Parada-Cabaleiro; Yashar Deldjoo; Eva Zangerle; Markus Schedl (Zenodo, 2022)

Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results. - Klara Krieg; Emilia Parada-Cabaleiro; Gertraud Medicus; Oleg Lesota; Markus Schedl; Navid Rekabsaz (CHIIR, 2023)

Exploring Intensities of Hate Speech on Social Media: A Case Study on Explaining Multilingual Models with XAI. - Raisa Romanov Geleta; Klaus Eckelt; Emilia Parada-Cabaleiro; Markus Schedl (LDK, 2023)

Automated composition of Galician Xota - tuning RNN-based composers for specific musical styles using deep Q-learning. - Rodrigo Mira; Eduardo Coutinho; Emilia Parada-Cabaleiro; Björn W. Schuller (PeerJ Comput. Sci., 2023)

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation. - Alessandro B. Melchiorre; David Penz; Christian Ganhör; Oleg Lesota; Vasco Fragoso; Florian Fritzl; Emilia Parada-Cabaleiro; Franz Schubert; Markus Schedl (Int. J. Multim. Inf. Retr., 2023)

Techville's Chronicles: A Music Pedagogy Project to Foster Children's AI Literacy Through Co-Creativity and Multimedia Storytelling. - Emilia Parada-Cabaleiro (CSEDU (1), 2024)

Lecture Video Highlights Detection from Speech. - Meishu Song; Ilhan Aslan; Emilia Parada-Cabaleiro; Zijiang Yang 007; Elisabeth André; Yoshiharu Yamamoto; Björn W. Schuller (EUSIPCO, 2024)

Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction. - Meishu Song; Xin Jing; Emilia Parada-Cabaleiro; Zijiang Yang 007; Yoshiharu Yamamoto; Björn W. Schuller (EUSIPCO, 2024)

Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-Efficient Approach. - Pedro Ramoneda; Vsevolod Eremenko; Alexandre D'Hooge; Emilia Parada-Cabaleiro; Xavier Serra (ISMIR, 2024)

The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines? - Pedro Ramoneda; Emilia Parada-Cabaleiro; Benno Weck; Xavier Serra (CoRR, 2024)

Why Context Matters: Exploring How Musical Context Impacts User Behavior, Mood, and Musical Preferences. - Anna Hausberger; Emilia Parada-Cabaleiro; Markus Schedl (UMAP, 2025)

A Residual Multi-Scale Convolutional Neural Network With Transformers for Speech Emotion Recognition. - Tianhao Yan; Hao Meng; Emilia Parada-Cabaleiro; Jianhua Tao 001; Taihao Li; Björn W. Schuller (IEEE Trans. Affect. Comput., 2025)

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features. - Andreas Peintner; Marta Moscati; Emilia Parada-Cabaleiro; Markus Schedl; Eva Zangerle (CoRR, 2025)

The impact of playlist characteristics on coherence in user-curated music playlists. - Harald Victor Schweiger; Emilia Parada-Cabaleiro; Markus Schedl (EPJ Data Sci., 2025)