Audio Question Answering

Audio Question Answering (AQA) focuses on enabling machines to understand and respond to questions about audio content, bridging the gap between audio signals and natural language. Current research emphasizes developing large audio-language models (LALMs) that integrate audio and text processing, often employing attention mechanisms and multimodal architectures to effectively combine audio and textual information for accurate answers. This field is advancing through the creation of larger, more diverse datasets and improved model architectures designed to enhance temporal reasoning and handle diverse audio types, including speech, music, and environmental sounds. The resulting advancements have significant implications for applications such as virtual assistants, accessibility technologies, and multimedia content analysis.