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icefall/egs/wenetspeech/ASR
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Fangjun Kuang 63563d16d3
Fix setting joiner dim (#2027) 
Fixes incorrect computation of encoder_dim when encoder_dim is a comma-separated list of integers by ensuring numeric (not lexicographic) max is used.

Fixes #2018

- Replace int(max(params.encoder_dim.split(","))) (lexicographic max on strings) with max(_to_int_tuple(params.encoder_dim)) (numeric max).
- Apply the fix consistently across all affected training scripts.
2025-09-19 09:42:41 +08:00
..
local
update speechio whisper ft results (#1605)
2024-04-30 11:49:20 +08:00
pruned_transducer_stateless2
add weights_only=False to torch.load (#1984)
2025-07-10 15:27:08 +08:00
pruned_transducer_stateless5
add weights_only=False to torch.load (#1984)
2025-07-10 15:27:08 +08:00
whisper
add weights_only=False to torch.load (#1984)
2025-07-10 15:27:08 +08:00
zipformer
Fix setting joiner dim (#2027)
2025-09-19 09:42:41 +08:00
finetune.sh
Add finetuning script for aishell (#974)
2023-03-30 17:08:46 +08:00
prepare.sh
fix the fixed num_splits (#1772)
2024-10-16 17:19:24 +08:00
README.md
[WIP] Pruned-transducer-stateless5-for-WenetSpeech (offline and streaming) (#447)
2022-07-28 12:54:27 +08:00
RESULTS.md
zipformer wenetspeech (#1130)
2023-06-26 09:33:18 +08:00
shared
[Ready to merge] Pruned Transducer Stateless2 for WenetSpeech (char-based) (#349)
2022-05-23 17:13:01 +08:00

README.md

Introduction

This recipe includes some different ASR models trained with WenetSpeech.

./RESULTS.md contains the latest results.

Transducers

There are various folders containing the name transducer in this folder. The following table lists the differences among them.

Encoder Decoder Comment
pruned_transducer_stateless2 Conformer(modified) Embedding + Conv1d Using k2 pruned RNN-T loss
pruned_transducer_stateless5 Conformer(modified) Embedding + Conv1d Using k2 pruned RNN-T loss

The decoder in transducer_stateless is modified from the paper Rnn-Transducer with Stateless Prediction Network. We place an additional Conv1d layer right after the input embedding layer.