no code implementations • 15 Nov 2023 • Nadine Kroher, Helena Cuesta, Aggelos Pikrakis
We are investigating the broader concept of using AI-based generative music systems to generate training data for Music Information Retrieval (MIR) tasks.
1 code implementation • 19 Aug 2022 • Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
We apply post-processing to the class probability distribution outputs of audio event classification models and employ reinforcement learning to jointly discover the optimal parameters for various stages of a post-processing stack, such as the classification thresholds and the kernel sizes of median filtering algorithms used to smooth out model predictions.
no code implementations • 25 Oct 2021 • Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
In this work we apply deep reinforcement learning to the problems of navigating a three-dimensional environment and inferring the locations of human speaker audio sources within, in the case where the only available information is the raw sound from the environment, as a simulated human listener placed in the environment would hear it.
1 code implementation • 10 May 2021 • Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis
In this work we use deep reinforcement learning to create an autonomous agent that can navigate in a two-dimensional space using only raw auditory sensory information from the environment, a problem that has received very little attention in the reinforcement learning literature.
no code implementations • 17 Feb 2021 • Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis, Aggelos Pikrakis
In more detail, we split the original problem into two sub-problems, namely Future Location Prediction and Evolving Cluster Detection.