Nineteen new theses, carried out and finished during the academic year 2023-2024 in the Master in Sound and Music Computing, are now available:

• Albàs Sánchez, Alex: Neural Network-based fingerprinting for background music identificat
• Crespo, Alvaro: Modelling the VCF from the RSF Expander Kobol​​​​​​​
• Sagasti Martínez, Amaia: Prediction of Pleasantness and Eventfulness Perceptual Sound Qualities in Urban Soundscapes
• Andrea Sofia Vallejo Budziszewski: Modeling the Voltage Controlled Oscillator Using Augmented Neural Networks
• Christopher Edwards Morse: Sounds of Rest: Using Auditory Stimuli to Optimize Daytime Naps
• Diana Tyman Rondiak: Evaluating Collaborative Filtering Models in Music Recommender Systems: Enhancing Diversity and Long-Tail Metrics with a Multi-Stakeholder Approach
• Du Huang: Exploring Neural Audio Codec-based Contrastive Language-Audio Pre-training
• Esteban Gutiérrez: Statistics-Driven Texture Sound Synthesis Using Differentiable Digital Signal Processing-Based Architectures
• Jessica Torrey: Meditation and Solo Singing as a Therapeutic Intervention for Anxiety and Depression​​​​​​​
• María Aguado Yáñez: Exploring quantum paths on rhythmspaces​​​​​​​
• Mario Ortega García: Exploring the impact of musical feedback systems on physical endurance
• Ruthu Prem Kumar: Intonation analysis of Carnatic violín performances in Thodi and Kalyani​​​​​​​
• Samuel Gómez Castro: Computational Segmentation of Sheet Music Books for Search and Retrieval​​​​​​​
• Suhit Chiruthapudi: Meaningful Misclassifications in Automatic Sound Classification​​​​​​​
• Suvi Häärä: A Multimodal Dataset for Vocal Pedagogy​​​​​​​
• Tommaso Settimi: Transformer neural network architecture for codec-based unconditional and conditional environmental sound synthesis​​​​​​​
• Valentín Malpica Gómez: Virtualization of the Behringer Kobol Synthesizer VCO​​​​​​​
• Yuxi Qiao: Evaluation on Annotations of Music Emotion Dataset​​​​​​​
• Zhijin Chen: Singing vocal source separation on Jingju Music​​​​​​​
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