Blaauw, Merlijn (Date of defense: 2022-07-22)
Singing synthesis has seen a notable surge in popularity in the last decade and a half. Music producers use this technology as an instrument, there is an audience for music with synthetic vocals, and ...
Yesiler, M. Furkan (Date of defense: 2022-01-12)
This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high ...
Jiménez Sánchez, Amelia (Date of defense: 2021-10-14)
This thesis investigates two key aspects of learning deep-based image representations for medical diagnosis. The two are confronted with common challenges of medical image databases, namely, the limited ...
Jiménez-Pérez, Guillermo (Date of defense: 2022-02-17)
Las señales electrocardiográficas, ya sea adquiridas en la piel del paciente (electrocardiogamas de superficie, ECG) o de forma invasiva mediante cateterismo (electrocardiogramas intracavitarios, iECG) ...
Shenoy Kadandale, Venkatesh (Date of defense: 2022-09-08)
A typical music audio consists of different sounds spread across voices and musical instruments. We propose a low-cost deep learning (DL) method for simultaneously isolating multiple sound sources ...