Hidden State Time Warping (HSTW)
The goal of this project is to use a variant of DTW to align two audio recordings that may contain discontinuities due to non-matching regions. We apply HSTW to two tasks: a subsequence task with speech, and a task with music (Chopin Mazurkas).
Claire Chang, Thaxter Shaw, Arya Goutam, Christina Lau, Mengyi Shan, and TJ Tsai. "Parameter-Free Ordered Partial Match Alignment with Hidden State Time Warping." Applied Sciences, 12(8): 3783, 2022.
This material is based upon work supported by the National Science Foundation under Grant No. 1948531. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.