Audio Caption

Audio captioning aims to automatically generate natural language descriptions of audio content, bridging the gap between sound and text. Current research focuses on improving the accuracy and semantic richness of these captions, often employing transformer-based architectures and leveraging large language models for enhanced reasoning and contextual understanding. This field is significant for advancing multimodal understanding in AI, with applications ranging from improved accessibility for the hearing impaired to more effective audio search and retrieval systems. Furthermore, research is actively exploring better evaluation metrics that align with human perception of sound semantics.