New Research Tackles Key Challenges in AI Speech Recognition and Translation – slator.com

In a February 26, 2025 paper, researchers from Tsinghua University and the University of Cambridge introduced something called LoRS-Merging (Low-Rank and Sparse Model Merging), a technique designed to improve multilingual speech recognition and translation without the need for full retraining. By efficiently merging models trained on different languages or tasks, LoRS-Merging reduces computational costs, minimizes […]