A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences

Daniel Yang, Thaxter Shaw, Timothy Tsai 0001. A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences. IEEE Transactions on Audio, Speech & Language Processing, 30:2117-2127, 2022. [doi]

@article{YangST22,
  title = {A Study of Parallelizable Alternatives to Dynamic Time Warping for Aligning Long Sequences},
  author = {Daniel Yang and Thaxter Shaw and Timothy Tsai 0001},
  year = {2022},
  doi = {10.1109/taslp.2022.3180673},
  url = {https://doi.org/10.1109/taslp.2022.3180673},
  researchr = {https://researchr.org/publication/YangST22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Audio, Speech & Language Processing},
  volume = {30},
  pages = {2117-2127},
}