update (#82)

rwth-i6 · Jun 9, 2024 · 8872168 · 8872168
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diff --git a/2024-dynamic-encoder-size/README.md b/2024-dynamic-encoder-size/README.md
@@ -2,4 +2,14 @@ This folder contains configs and code related to the publication:
 
 paper [Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition]()
 
-We use [RETURNN](https://github.com/rwth-i6/returnn) for training and our setups are based on [Sisyphus](https://github.com/rwth-i6/sisyphus).
+We use [RETURNN](https://github.com/rwth-i6/returnn) for training and our setups are based on [Sisyphus](https://github.com/rwth-i6/sisyphus).
+
+We use models parts from [i6-models](https://github.com/rwth-i6/i6_models/tree/jing-dynamic-encoder-size) 
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+### TED-LIUM-v2 Simple-Top-K
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+ConformerCTCModel, ConformerCTCConfig and train_step in returnn config is defined in [here](https://github.com/rwth-i6/i6_experiments/blob/main/users/jxu/experiments/ctc/tedlium2/pytorch_networks/dynamic_encoder_size/simple_topk_refactored/jointly_train_simple_top_k_layerwise.py)
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+
+### TED-LIUM-v2 Iterative-Zero-Out