POposterboy·Mar 24, 2017
In Recurrent Neural Networks - A Short TensorFlow Tutorialbaidu-research
ba-dls-deepspeech
Python2017–2017
baidu-research / ba-dls-deepspeech
ba-dls-deepspeech
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Observed mentions: 2017-03-24 07:30:23 UTC to 2017-03-24 13:47:02 UTC.
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| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Mar 24, 07:00 | 2017-03-24 07:00:00 UTC | 2017-03-24 08:00:00 UTC | 1 | 0 | 1 |
| Mar 24, 08:00 | 2017-03-24 08:00:00 UTC | 2017-03-24 09:00:00 UTC | 0 | 0 | 0 |
| Mar 24, 09:00 | 2017-03-24 09:00:00 UTC | 2017-03-24 10:00:00 UTC | 0 | 0 | 0 |
| Mar 24, 10:00 | 2017-03-24 10:00:00 UTC | 2017-03-24 11:00:00 UTC | 0 | 0 | 0 |
| Mar 24, 11:00 | 2017-03-24 11:00:00 UTC | 2017-03-24 12:00:00 UTC | 0 | 0 | 0 |
| Mar 24, 12:00 | 2017-03-24 12:00:00 UTC | 2017-03-24 13:00:00 UTC | 0 | 0 | 0 |
| Mar 24, 13:00 | 2017-03-24 13:00:00 UTC | 2017-03-24 14:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
2 sourcesMozilla Deepspeech has been around for a while (https://github.com/mozilla/DeepSpeech). In fact, this code looks like it heavily copied from there (see attribution notices in comments).
Their examples use much less data, just 5 utterances from the Librispeech training set. Which is perfectly fine for a tutorial, since training on 1500h worth of speech data takes from several days to multiple weeks, depending on your hardware.
[edit: IMHO, the tutorial from the Bay Area DL School is more useful to get started: https://github.com/baidu-research/ba-dls-deepspeech)]
In Recurrent Neural Networks - A Short TensorFlow Tutorial