After the multiple DTW paths are calculated, the optimal subpath on each is then detected in order to find the local alignments where the similarity is maximal, which is where we expect actual matched phrases to occur.
this model is of interest due to its independence from spoken language transcription, an error-prone and resource-intensive process, its ability to integrate multiple sources of information on the same topic, and its novel use of acoustic patterns that extends previous work on low-level prosodic feature detection.