| | --- |
| | language: zh |
| | license: apache-2.0 |
| | tags: |
| | - automatic-speech-recognition |
| | - ASR |
| | - chinese |
| | - speech |
| | --- |
| | |
| | ## 📂 Project Tree |
| | # （以下保留你原有的内容） |
| |
|
| | ## 📂 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 |
| | ``` |
| | |
| |
|
