awesome-large-audio-models
This article provides a detailed examination of recent advancements and challenges in the use of large language models for audio signal processing. The discussion focuses on Large Audio Models, especially transformer-based frameworks, excelling in tasks like Automatic Speech Recognition and Text-To-Speech. It reviews the evolution of foundational audio models such as SeamlessM4T, which facilitate universal translation across many languages. The article offers an analysis of cutting-edge methodologies, practical applications, and current limitations, providing a basis for future research to inspire continued discussion and innovation in audio-processing systems.
