3 accepted papers
Large Audio Language Models (LALMs) are transforming AI by processing and generating human language directly from audio. As these models proliferate in real-world applications, it becomes critical to evaluate their performance to ensure equitable and safe use across diverse linguistic and cultural c
The proliferation of Large Language Models (LLMs) has transformed Natural Language Processing (NLP), yet their development has largely overlooked low-resource languages. This paper addresses this disparity by evaluating three prominent Large Audio Language Models (LALMs) – LTU-AS, GAMA, and Pengi –…
Automatic recognition of bird behavior from long-term, un controlled outdoor imagery can contribute to conservation efforts by enabling large-scale monitoring of bird populations. Current techniques in AI-based wildlife monitoring have focused on short-term tracking and monitoring birds individually…