Speech Recognition with Deep Recurrent Neural Networks — mentioned by Nimitz14

Mon, 06 Apr 2020 11:21:51 GMT

Yup. Copying my post from reddit: Seems like the title should really be criticisms of STT groups in the industry, work from academic groups is ignored. The original article was kind of silly anyways, it was all engineering work, very little research. Engineering work is important, but you're not going to get an image net moment in ASR by twiddling with hyperparameters or reducing training time. Also a bizarre decision to pick deepspeech as a framework, of course your models will take forever to train and won't even be that good in the end. It's end-to-end and hasn't been SOTA for a while. >…

Paper and discussion history. A mention is not an endorsement.

Speech Recognition with Deep Recurrent Neural Networks — mentioned by jbarrow

Thu, 11 Sep 2014 00:55:40 GMT

I believe that training methods for recursive neural networks will be some of the most interesting future research in the field. We've seen some pretty revolutionary techniques come out for feedforward models in the last 30 years, but with recurrent/recursive networks it's often difficult to see what's going on inside the network, let alone properly train it. We've already seen what Deep RNNs can do when trained [1], but I think this is only the beginning. [1] http://arxiv.org/pdf/1303.5778.pdf

Paper and discussion history. A mention is not an endorsement.

Speech Recognition with Deep Recurrent Neural Networks · HackerPapers discussions

Speech Recognition with Deep Recurrent Neural Networks — mentioned by Nimitz14

Speech Recognition with Deep Recurrent Neural Networks — mentioned by jbarrow