4 ms·

Deep Speech: Scaling up end-to-end speech recognition

• dthal 12y ago
  I'll kick things off by linking to the comments from the last time this was posted: https://news.ycombinator.com/item?id=8769067 https://news.ycombinator.com/item?id=8769067.
• infocollector 12y ago
  Github repo that I can compile and try?
  • deleted 12y ago
    [deleted]
  • woodson 12y ago
    Providing the source would be a step to improve transparency and reproducibility (the text does not provide sufficient detail for even someone working in the field to reproduce what they did so that he would arrive at the same results); however, the more crucial thing is the data. Switchboard, Fisher, and WSJ are available (provided you have a few grand to spend), but they say they collected 5000 h of read speech from 9600 speakers.. That's a huge effort!
    • xai3luGi 12y ago
      An alternative source of data that you can contribute to: http://www.voxforge.org/ http://www.voxforge.org/
• egfx 12y ago
  woo!
• natch 12y ago
  >16.0% error on the full test set Does anyone know, what was the error rate with previous approaches these days?
  • woodson 12y ago
    Look at Table 3 in the paper. Also, 16.5% error ;)
    • natch 12y ago
      Oh thanks, and, wow!