A phonetic similarity based noisy channel approach to ASR hypothesis re-ranking and error detection

Martin Hacker, Elmar Nöth. A phonetic similarity based noisy channel approach to ASR hypothesis re-ranking and error detection. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014. pages 2317-2321, IEEE, 2014. [doi]

@inproceedings{HackerN14,
  title = {A phonetic similarity based noisy channel approach to ASR hypothesis re-ranking and error detection},
  author = {Martin Hacker and Elmar Nöth},
  year = {2014},
  doi = {10.1109/ICASSP.2014.6854013},
  url = {http://dx.doi.org/10.1109/ICASSP.2014.6854013},
  researchr = {https://researchr.org/publication/HackerN14},
  cites = {0},
  citedby = {0},
  pages = {2317-2321},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014},
  publisher = {IEEE},
}