SMC Master thesis 2021-2022
SMC Master thesis 2021-2022
Master's theses for the 2021-2022 academic year are now available online
28.09.2022
We have published 12 theses that have been carried out and finished during the academic year 2021-2022 in the Master in Sound and Music Computing. Here is the list of the theses:
- Anna Eliane Barletta: Generating Classical Music Playlists using Radio Broadcast Programming
- Betty Cortiñas Lorenzo: Transcription-Guided and Self-Supervised Speech Representations for Singing Voice Conversion
- Christos Filippidis: Singing Voice Separation Using Interpretable Deep Learning
- Dean Cochran: Heterogeneous Graph Neural Network Music Recommendation
- Gustav Anthon: Evaluation of Nonlinearities in a Diode Clipper Circuit based on Wave Digital Filters
- Huicheng Zhang: Hierarchical Music Source Separation Using Mixing Secret Multi-track Dataset
- Lennart Nicolas Krebs: A Comparative Study On Improving Sound Similarity Maps With Semantic Metadata
- Marco Bertola: Exploring Data Augmentation Techniques for Sound Event Detection
- Miquel Royo: Evaluation of Tube Screamer Simulation using Machine Learning
- Rajsuryan Singh: Multimodal Urban Scene Understanding
- Samuel Narváez: Advancing a Wavelet-Based Spatial Audio Format
- Sultan Eylem Atabay: Desktop Interface for Freesound-based Sampler Audio Plugin
Master thesis from previous years are also accessible here: https://zenodo.org/communities/smc-master