Audio Text

Audio-text research focuses on bridging the gap between audio and textual representations, aiming to improve tasks like audio generation, retrieval, and captioning. Current efforts concentrate on developing large-scale, temporally-aligned datasets with rich annotations and employing transformer-based models, contrastive learning, and diffusion models to achieve better alignment and understanding of audio-text relationships. These advancements are significant for improving human-computer interaction, accessibility technologies, and multimedia applications by enabling more nuanced and accurate processing of audio information.