Audio word similarity for clustering with zero resources based on iterative HMM classification

Amelie Royer, Guillaume Gravier, Vincent Claveau. Audio word similarity for clustering with zero resources based on iterative HMM classification. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016. pages 5340-5344, IEEE, 2016. [doi]

@inproceedings{RoyerGC16,
  title = {Audio word similarity for clustering with zero resources based on iterative HMM classification},
  author = {Amelie Royer and Guillaume Gravier and Vincent Claveau},
  year = {2016},
  doi = {10.1109/ICASSP.2016.7472697},
  url = {http://dx.doi.org/10.1109/ICASSP.2016.7472697},
  researchr = {https://researchr.org/publication/RoyerGC16},
  cites = {0},
  citedby = {0},
  pages = {5340-5344},
  booktitle = {2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, March 20-25, 2016},
  publisher = {IEEE},
  isbn = {978-1-4799-9988-0},
}