![]() Director: Xavier Serra & Hendrik Purwins. Statistical modelling and resynthesis of environmental texture sounds. Making Tabletops Useful with Applications, Frameworks and Multi-Tasking. Tag Recommendation using Folksonomy Information for Online Sound Sharing Platforms. Algorithms and representations for supporting online music creation with large-scale audio databases. Expanding tangible tabletop interfaces beyond the display. Directors: Esteban Maestre & Xavier Serra. A computational approach to studying interdependence in string quartet performance. Expression Control of Singing Voice Synthesis: Modeling Pitch and Dynamics with Unit Selection and Statistical Approaches. Descriptor Control of Sound Transformations and Mosaicing Synthesis. Directors: Jordi Bonada & Xavier Serra. Computational Modelling of Expressive Music Performance in Jazz Guitar: A Machine Learning Approach. Director: Rafael Ramírez.Ĭoleman, G. A Data-driven Bayesian Approach to Automatic Rhythm Analysis of Indian Art Music. Computational Analysis of Audio Recordings and Music Scores for the Description and Discovery of Ottoman-Turkish Makam Music. Digital Musical Instruments for People with Physical Disabilities. Towards a multimodal knowledge base for Indian art music: A case study with melodic intonation. Computational Approaches for Melodic Description in Indian Art Music Corpora. Director: Xavier Serra. Musical Interaction Based on the Conductor Metaphor. Knowledge-based Probabilistic Modeling for Tracking Lyrics in Music Audio Signals. ![]() ![]() From Heuristics-Based to Data-Driven Audio Melody Extraction. Director: Emilia Gómez.ĭzhambazov, G. Knowledge Extraction and Representation Learning for Music Recommendation and Classification. Director: Xavier Serra. Similarity and Style in Electronic Dance Music Drum Rhythms. The musical dimension of Chinese traditional theatre: An analysis from computer aided musicology. Directors: Manel Ollé & Xavier Serra. Directors: Emilia Gómez & Jordi Janer.Ĭaro Repetto, R. Source Separation Methods for Orchestral Music: Timbre-Informed and Score-Informed Strategies. Tonality Estimation in Electronic Dance Music: A Computational and Musically Informed Examination. Director: Sergi Jordà. Connecting Time and Timbre: Computational Methods for Generative Rhythmic Loops in Symbolic and Signal Domains. Directors: Sergi Jordà & Perfecto Herrera. Automatic Assessment of Singing Voice Pronunciation: A Case Study with Jingju Music. MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR. Directors: Xavier Serra & Emilia Gómez. Deep Neural Networks for Music and Audio Tagging. Director: Xavier Serra. (2020) Audio-visual deep learning methods for musical instrument classification and separation. (2020) Parametric Analysis of Ambisonic Audio: Contributions to methods, applications and data generation. (2020) Machine Learning and Deep Neural Networks Approach to Modelling Musical Gestures. (2021) Improving Sound Retrieval in Large Collaborative Collections. Directors: Emilia Gómez & Emilio Molina. įavory, X. Meléndez, B. (2021) Relative Music Loudness Estimation In TV Broadcast Audio Using Deep Learning. (2021) Computational Modeling of User Activity in Full-Body Interaction Environments for ASC Children: Multimodal Analysis of Social Interaction Behaviors through Psychophysiology, System Activity, Video Coding, Questionnaires, and Body Cues. (2021) Neural Networks for Singing Voice Extraction in Monaural Polyphonic Music Signals. A Behavioral and Electrophysiological Account. (2021) Educational Technologies and the Impact of Feedback on Violin Learning. (2021) Music Recommender Systems: Taking Into Account The Artists' Perspective. Directors: Xavier Serra & Frederic Font. įerraro, A. (2021) Training Sound Event Classifiers Using Different Types of Supervision. Directors: Emilia Gómez and Joan Serrà. įonseca, E. (2022) Data-driven Musical Version Identification: Accuracy, Scalability, and Bias Perspectives. (2022) A machine learning approach to computer modeling of musical expression for performance learning and practice. (2022) Data-driven Pitch Content Description of Choral Singing Recordings. Directors: Xavier Serra & Horacio Saggion Ĭuesta, H. (2022) Representation Learning for Music Classification and Retrieval: Bridging the Gap between Natural Language and Music Semantics. Directors: Xavier Serra & Dmitry Bogdanov. (2022) Exploration of Music Collections with Audio Embeddings. (2022) Modeling Timbre for Neural Singing Synthesis: Methods for Data-Efficient, Reduced Effort Voice Creation, and Fast and Stable Inference. Directors: Emilia Gómez, Perfecto Herrera & Estefanía Canoīlaauw, M. (2022) Human-centered machine learning for music emotion recognition.
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