Stabilizing Training With Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation With Weakly Aligned Targets

Johannes Zeitler, Simon Deniffel, Michael Krause 0002, Meinard Müller. Stabilizing Training With Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation With Weakly Aligned Targets. In Augusto Sarti, Fabio Antonacci, Mark Sandler 0001, Paolo Bestagini, Simon Dixon, Beici Liang, Gaël Richard, Johan Pauwels, editors, Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023. pages 433-439, 2023. [doi]

@inproceedings{ZeitlerD0M23,
  title = {Stabilizing Training With Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation With Weakly Aligned Targets},
  author = {Johannes Zeitler and Simon Deniffel and Michael Krause 0002 and Meinard Müller},
  year = {2023},
  doi = {10.5281/zenodo.10265317},
  url = {https://doi.org/10.5281/zenodo.10265317},
  researchr = {https://researchr.org/publication/ZeitlerD0M23},
  cites = {0},
  citedby = {0},
  pages = {433-439},
  booktitle = {Proceedings of the 24th International Society for Music Information Retrieval Conference, ISMIR 2023, Milan, Italy, November 5-9, 2023},
  editor = {Augusto Sarti and Fabio Antonacci and Mark Sandler 0001 and Paolo Bestagini and Simon Dixon and Beici Liang and Gaël Richard and Johan Pauwels},
  isbn = {978-1-7327299-3-3},
}