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Really curious about the tech / arch. behind its ASR. Must have a lot of nodes and tricks in place to support high throughput and low latency. If I'm not mista
by covi 12y ago
Really curious about the tech / arch. behind its ASR. Must have a lot of nodes and tricks in place to support high throughput and low latency.
If I'm not mistaken, this paper [1] is the last time Google published about the related architecture. We know very little about improvements over the last 7 years.
[1] http://www.aclweb.org/anthology/D07-1090 http://www.aclweb.org/anthology/D07-1090
- choppaface 12y agoThe original word lens app was much closer to a hashmap of words in language src to dest. http://stackoverflow.com/questions/15656331/real-time-image-processing-ocr http://stackoverflow.com/questions/15656331/real-time-image-...
- afsina 12y agoAFAIK there are several new advancements for both ASR and Translation front. DBN and Special RNN called LSTM based systems surpassed classical approaches. A recent Translation mechanism based on LSTM from Google: http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf http://papers.nips.cc/paper/5346-sequence-to-sequence-learni...