RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation

no code implementations • 5 Jul 2023 • Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato

We evaluate the effectiveness of this approach by training a semantic segmentation model on a real dataset augmented in two ways: 1) using synthetic images obtained from real masks, and 2) generating images from synthetic semantic masks.

Astronomy object-detection +2

Radio astronomical images object detection and segmentation: A benchmark on deep learning methods

no code implementations • 8 Mar 2023 • Renato Sortino, Daniel Magro, Giuseppe Fiameni, Eva Sciacca, Simone Riggi, Andrea DeMarco, Concetto Spampinato, Andrew M. Hopkins, Filomena Bufano, Francesco Schillirò, Cristobal Bordiu, Carmelo Pino

In recent years, deep learning has been successfully applied in various scientific domains.

Astronomy Computational Efficiency +5

Analysis of Data Augmentation Methods for Low-Resource Maltese ASR

no code implementations • 15 Nov 2021 • Andrea DeMarco, Carlos Mena, Albert Gatt, Claudia Borg, Aiden Williams, Lonneke van der Plas

Recent years have seen an increased interest in the computational speech processing of Maltese, but resources remain sparse.

Data Augmentation Language Modelling +2

MASRI-HEADSET: A Maltese Corpus for Speech Recognition

no code implementations • LREC 2020 • Carlos Mena, Albert Gatt, Andrea DeMarco, Claudia Borg, Lonneke van der Plas, Amanda Muscat, Ian Padovani

Maltese, the national language of Malta, is spoken by approximately 500, 000 people.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1