SMC Master thesis 2020-2021
SMC Master thesis 2020-2021
Master's theses for the 2020-2021 academic year are now available online
13.10.2021
We have published 16 theses that have been carried out and finished during the academic year 2020-2021 in the Master in Sound and Music Computing. Here is the list of the theses:
- Aditya Bhattacharjee: Exploring Robust Music Fingerprinting Methods With Data-driven Methodologies
- Benedikt Wimmer: Quality Enhancement of Overdub Singing Voice Recordings
- Cheuk Lun Isaac Lee: Dualisation of Rhythmic Patterns
- Colm Forkin: Automatic Assessment of Timing and Rhythm in Electric Bass for Rock & Pop Repertoire
- Esteban Gómez: Deep Noise Suppression for Real Time Speech Enhancement in a Single Channel Wide Band Scenario
- Gabriel Bibbó Frau: Towards a new compatibility measure for harmonic EDM mixing
- Genís Plaja i Roglans: Data-driven Vocal Pitch Extraction for Indian Art Music Melodic Analysis
- Gonzalo Nieto Montero: Generating sound palettes for a Freesound concatenative synthesizer to support creativity
- Logan Stillings: Singing Voice Melody Estimation From Polyphonic Signals
- Marina S. Nieto Giménez: Tap2Drum with Transformer Neural Networks
- Morgan Buisson: Improving Generalization of Deep Learning Music Classifiers
- Nicolás Schmidt: PodcastMix: A dataset for separating music and speech in podcasts
- Rubén Eguinoa Cabrito: Subjective Evaluation of the Localization Performance of the Spherical Wavelet Format Compared to Ambisonics
- Teresa Pelinski Ramos: Completing Audio Drum Loops with Transformer Neural Networks
- Vanessa Nina Borsan: InterLied: Toolkit for Computational Music Analysis
- Pedro Ramoneda: Computational methods to study piano music in education context
Master thesis from previous years are also accessible here: https://zenodo.org/communities/smc-master