WSChuan-ASR

csukuangfj/WSChuan-ASR

WSChuan-ASR is a automatic speech recognition model from csukuangfj. Use it when you need speech turned into text. The card lists the license as apache-2.0.

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Public

Updated Oct 8, 2025

Repo size

8.3 GB

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Hugging Face

Repo makeup

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.safetensors4.7 GB · 57%

At a glance

Task: Automatic Speech Recognition
License: apache-2.0
Access: Public
Created: Oct 8, 2025
Updated: Oct 8, 2025
SHA: ebfe4ba3

Model card

From the Hugging Face model README

📂 Project Tree

WSChuan-ASR
├── paraformer_large_chuan/
│ ├── config.yaml
│ ├── model.pt
│ └── infer.py
│
├── Qwen2.5-omni3B/
| ├──added_tokens.json
| ├──args.json
| ├──char_template.jinja
| ├──config.json
| ├──generation_config.json
| ├──merges.txt
| ├──model-00001-of-00003.safetensors
| ├──model-00002-of-00003.safetensors
| ├──model-00003-of-00003.safetensors
| ├──model.safetensors.index.json
| ├──preprocessor_config.json
| ├──special_tokens_map.json
| ├──spk_dict.pt
| ├──tokenizer_config.json
| ├──tokenizer.json
| ├──video_preprocessor_config.json
| └──vocab.json
│
├── .gitattributes
└── README.md

ASR Leaderboard

Model	Model Size	WSC-Eval-ASR - Easy	WSC-Eval-ASR - Hard	WSC-Eval-ASR - Total	Magicdata - Conversation	Magicdata - Daily-Use	Avg.
with LLM
Kimi-Audio<sup></sup>	7B	16.65	28.66	17.66	24.67	5.77	18.68
FireRedASR-LLM<sup></sup>	8.3B	12.80	25.27	14.40	17.68	6.69	15.37
Qwen2.5-omni<sup></sup>	3B	16.94	26.01	18.20	20.40	6.32	17.69
Qwen2.5-omni-WSC-Finetune⭐	3B	14.36	24.14	15.61	18.45	6.15	15.74
<span style="background-color: #d4edda; padding: 0 2px;">Qwen2.5-omni+internal data⭐</span>	3B	13.17	23.36	14.81	18.50	5.88	15.14
<span style="background-color: #d4edda; padding: 0 2px;">Qwen2.5-omni-WSC-Finetune + internal data⭐</span>	3B	12.93	23.19	14.25	17.95	<u>5.89</u>	14.84
without LLM
SenseVoice-small<sup></sup>	234M	17.43	28.38	18.39	23.50	8.77	19.29
Whisper<sup></sup>	244M	52.06	63.99	53.59	55.88	52.03	55.51
FireRedASR-AED<sup></sup>	1.1B	13.29	23.64	14.62	17.84	6.69	15.14
Paraformer<sup></sup>	220M	14.34	24.61	15.66	19.81	8.16	16.52
Paraformer-WSC-Finetune⭐	220M	12.15	22.60	13.51	16.60	8.02	14.58
<span style="background-color: #d4edda; padding: 0 2px;">Paraformer + internal data⭐</span>	220M	<u>11.93</u>	<u>21.82</u>	<u>13.14</u>	<u>15.61</u>	6.77	<u>13.85</u>
<span style="background-color: #d4edda; padding: 0 2px;">Paraformer-WSC-Finetune + internal data</span>⭐	220M	11.59	21.59	12.87	14.59	6.28	13.38

ASR Inference

Paraformer_large_Chuan

export CUDA_VISIBLE_DEVICES=7
root_dir=./test_data
test_sets=("WSC-Eval-ASR" "WSC-Eval-ASR-Hard" "WSC-Eval-ASR-Easy")
model_dir=./model_dir

out_rootdir=./results
mkdir -p $out_rootdir
python infer_paraformer.py \
  --model $model_dir \
  --wav_scp_file $root_dir/$test_data/wav.scp \
  --output_dir $out_rootdir/debug \
  --device "cuda" \
  --output_file $out_dir/hyp.txt

Qwen2.5-Omni-3B_Chuan

python infer_qwen2.5omni.py \
    --wavs_path /path/to/your/wav.scp \
    --out_path /path/to/your/results.txt \
    --gpu 0 \
    --model /path/to/your/model

Note:

Original: https://huggingface.co/ASLP-lab/WSChuan-ASR

Duplicated by: https://huggingface.co/spaces/huggingface-projects/repo_duplicator

Task: Automatic Speech Recognition
License: apache-2.0
Languages: zh
Created: Oct 8, 2025
Updated: Oct 8, 2025