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I have built a CRNN model to do OCR on the images containing english words as mentioned in the [link](https://github.com/TheAILearner/A-CRNN-model-for-Text-Recognition-in-Keras/blob/master/CRNN%20Mode…
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我用来训练7位的英文字母，训练的时候准确率达到99.9%以上，但是我就用训练集进行测试，结果只有不到3%完全正确，测出来的结果是6位甚至5位，是测试脚本的问题么？
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What would be the main steps for building a real-time decoder on top of EESEN?
I read in the EESEN paper that composing the tokens, lexicon and grammar speeds up decoding a great deal, and I'd li…
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There are two issues:
- For both the BLSTM and XSA checkpoints, the parameter shape suggests they were trained with 2 labels. However, the original paper suggests silence should be its own category…
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Hi, thanks the share. when i add a lstm layer, met "Segmentation fault"
Add a simple lstm layer in the full_network, the code is below:
output = tf.squeeze(output) // origin code, doesn't chang…
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```Julia
function flip(f, xs)
rev_time = reverse(eachindex(xs))
return getindex.(Ref(f.(getindex.(Ref(xs), rev_time))), rev_time)
# the same as
# flipped_xs = Buffer(xs)
# @inboun…
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Hi,
I am trying to reproduce your results, and am wondering how long does it take to train the nsf-v3 model on a single speaker (CMU US SLT).
I want to know after approximately how many iteratio…
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```
./run.sh --gpu 0,1,2,3 --stage 4 --stop_stage 4 --conf conf/asr/blstm_las.yaml
```
```
Traceback (most recent call last):
File "/e2e_asr/neural_sp/examples/aishell/s5/../../../neural_sp/…
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My setting is:
ep = p.encoder
ep.input_shape = [None, None, 96, 1]
ep.lstm_cell_size = 1024
ep.num_lstm_layers = 4
ep.conv_filter_shapes = []
ep.conv_filter_strides = …
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I trained model on Aishell corpus, and I found a error in train log: NaN or Inf found in input tensor.
So, how dose it come about? How does it affect the outcome. Thank you.
By the way, your wo…