cbcase

5 ms·

1.
by cbcase 10y ago
Baidu Silicon Valley AI Lab | Sunnyvale, CA | Full-time | On-site | http://usa.baidu.com/careers/ The Silicon Valley AI Lab is Baidu's US-based research group, started a bit more than two years ago by Andrew Ng an
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Warp-CTC: Fast parallel GPU/CPU CTC loss for deep learning(github.com)
64 points by cbcase 11y ago|1 comments
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by cbcase 12y ago
Thanks for the kind words, Brandon! Been a busy couple of months :)
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by cbcase 12y ago
Both Kaldi[1] and CMU Sphinx[2] are high-quality open source speech systems. I know for a fact that Kaldi includes support for DNN acoustic models (I'm less familiar with Sphinx). [1] http://kaldi.sourceforge.net/ [2]
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by cbcase 12y ago
Mostly this, though it's not so black-and-white. The paper discusses results from a DNN-HMM system (Maas et al., using Kaldi) trained on 2k hours, and it does provide a small generalization improvement over 300 hours. Much of the excit
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by cbcase 12y ago
For a single utterance, it's fast enough that we can produce results in real time. Of course, building a production system for millions of users might require just a bit more engineering work...
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by cbcase 12y ago
Hi Jerome, those are great results! We got an email this morning from someone else on the Watson team pointing out that we didn't include the latest IBM number -- we'll be sure to update the results in the next version of the pape
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by cbcase 12y ago
As in many things, it's a combination of both. For example: - We wanted no more than one recurrent layer, as it's a big bottleneck to parallelization. - The recurrent layer should go "higher" in the network, as it's
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by cbcase 12y ago
I should add that I had the opportunity to work on this project and am happy to answer questions.
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by cbcase 12y ago
Thought it best to post the arXiv link, but there's some press coverage as well: - https://gigaom.com/2014/12/18/baidu-claims-deep-learning-bre... - http://www.forbes.com/sites/rober
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DeepSpeech: Scaling up end-to-end speech recognition(arxiv.org)
79 points by cbcase 12y ago|22 comments
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by cbcase 14y ago
Glad to hear it! I had a lot of fun coming back to campus. Good luck to you too! carl @ sift
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Coursera / Stanford PGM Class is Open(coursera.org)
58 points by cbcase 15y ago|16 comments
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by cbcase 15y ago
The first two classes (106A and 106B) are very techinical, though I'd hesitate to let anyone who hadn't taken classes beyond them to work on a piece of software I had control over. I think a good metric for classes is the final assignment,
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by cbcase 15y ago
It's not exactly paradise. Because classes are only ten weeks total (slightly less in spring), you can't exactly spend the first week or two shopping around without doing non-trivial work for every single class you're shopping --- an approa
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by cbcase 16y ago
I cannot understand why it is that so many obviously very intelligent people decide that we need another computer vision-based startup. Because the unfortunate truth is that computer vision (right now) doesn't work. Let me qualify that. Fro
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Why old people make better entrepreneurs than young ones(slate.com)
88 points by cbcase 16y ago|20 comments
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by cbcase 16y ago
Reusing exam/written homework problems is unquestionably lax, I'd agree, but I do not think that professors should be writing new programming assignments each year. I worked as an undergraduate teaching assistant for intro programming class