Segmentation Segmentation is done in multiple steps – Classify and segment waveform into foreground/background using a 2-class HMM – Recognize foreground segments – Compute word posterior probabilities (from confusion networks derived from N-best lists) – Resegment the foreground segments eliminating word hypotheses with posteriors below a threshold (optimized on dryrun data)