11 citations · 11 across the 3 of their papers we have counts for
3 papers
Sparks of Large Audio Models: A Survey and Outlook
Siddique Latif, Moazzam Shoukat, Fahad Shamshad +8
This survey paper provides a comprehensive overview of the recent advancements and challenges in applying large language models to the field of audio signal processing. Audio proce…
Reward-Based Environment States for Robot Manipulation Policy Learning
Cédérick Mouliets, Isabelle Ferrané, Heriberto Cuayáhuitl
Training robot manipulation policies is a challenging and open problem in robotics and artificial intelligence. In this paper we propose a novel and compact state representation ba…
A Survey on Deep Reinforcement Learning for Audio-Based Applications
Siddique Latif, Heriberto Cuayáhuitl, Farrukh Pervez +3
Deep reinforcement learning (DRL) is poised to revolutionise the field of artificial intelligence (AI) by endowing autonomous systems with high levels of understanding of the real…