[doc] update paper link in README.md (#124)
* [doc] update paper link in README.md * [wekws] remove unused variables in wekws/utils/executor.py
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@ -71,7 +71,7 @@ Please scan the QR code on the right to join the chat group.
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* Mining Effective Negative Training Samples for Keyword Spotting
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([github]( https://github.com/jingyonghou/KWS_Max-pooling_RHE),
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[paper](http://lxie.nwpu-aslp.org/papers/2020ICASSP_HJY.pdf))
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[paper](https://www.microsoft.com/en-us/research/uploads/prod/2020/04/ICASSP2020_Max_pooling_KWS.pdf))
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* Max-pooling Loss Training of Long Short-term Memory Networks for Small-footprint Keyword Spotting
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([paper](https://arxiv.org/pdf/1705.02411.pdf))
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* A depthwise separable convolutional neural network for keyword spotting on an embedded system
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@ -33,8 +33,6 @@ class Executor:
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epoch = args.get('epoch', 0)
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min_duration = args.get('min_duration', 0)
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num_total_batch = 0
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total_loss = 0.0
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for batch_idx, batch in enumerate(data_loader):
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key, feats, target, feats_lengths = batch
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feats = feats.to(device)
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