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icefall/egs/librispeech/ASR/tdnn_lstm_ctc
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jaeeunbaik 915e8e399c Add CHiME-4 dataset, RIR and Self-Distillation 
- Added CHiME-4 dataset integration in asr_datamodule.py
- Added Hugging Face upload script
- Added RIR augmentation
- Added Self-Distillation Training
2025-08-27 16:11:20 +09:00
..
__init__.py
Add CHiME-4 dataset, RIR and Self-Distillation
2025-08-27 16:11:20 +09:00
asr_datamodule.py
Add CHiME-4 dataset, RIR and Self-Distillation
2025-08-27 16:11:20 +09:00
decode.py
apply black on all files
2022-11-17 09:42:17 -05:00
model.py
Add CHiME-4 dataset, RIR and Self-Distillation
2025-08-27 16:11:20 +09:00
pretrained.py
Use high_freq -400 in computing fbank features. (#1447)
2024-01-04 13:59:32 +08:00
README.md
Add CHiME-4 dataset, RIR and Self-Distillation
2025-08-27 16:11:20 +09:00
train.py
formatted the entire LibriSpeech recipe (#1270)
2023-09-24 17:31:01 +08:00

README.md

Please visit https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/librispeech/tdnn_lstm_ctc.html for how to run this recipe.