Sequential Audio

Sequential audio processing focuses on analyzing and understanding the temporal order and relationships within audio streams, aiming to improve tasks like audio classification, tagging, and video generation. Current research emphasizes the use of transformer-based architectures, often incorporating bidirectional processing and attention mechanisms to effectively capture contextual information within audio sequences, outperforming previous methods like connectionist temporal classification. These advancements are significant for applications ranging from improved music information retrieval and sound event detection to more sophisticated audio-reactive video generation.