RESPIRA-X began as a research question: what gets lost when a cough is treated as a single noise? Instead of raw audio classification, we explored respiratory signals as sequences with structure. A custom dual-stream model let CNNs capture subtle acoustic textures while a Transformer learned the full temporal story of a breath or cough. This shift toward sequence-aware listening led to stronger results and showed that medical audio needs both detail and context to be understood well.