Automatic Speech Recognition on AISHELL-2 iOS (test)
2.27WERSeed-ASR (CN)
Evaluation Results
| Method | Links | |
|---|---|---|
| Seed-ASR (CN)2024.07 | 2.27 | |
| Ming-Flash-Omni2025.10 | 2.44 | |
| Qwen3 Omni2025.10 | 2.55 | |
| Kimi Audio2025.10 | 2.56 | |
| Paraformer-large2024.07 | 2.85 | |
| Paraformer-largeTask-specific fine-tuning=true2023.11 | 2.9 | |
| Qwen2 Audio2025.10 | 2.92 | |
| Qwen-Audiozero-shot=true2023.11 | 3.1 | |
| Qwen-Audio2024.07 | 3.1 | |
| Hubert+Baichuan2Aishell-2 set average=true2024.07 | 3.5 | |
| MMSpeechunsup-speech=AISHELL-2, fine-tuning=true2022.11 | 3.9 | |
| MMSpeechunsup-speech=WenetSpeech, fine-tuning=true2022.11 | 3.9 | |
| MMSpeech-baseTask-specific fine-tuning=true2023.11 | 3.9 | |
| Conformer2022.11 | 5.3 | |
| MMSpeechunsup-speech=WenetSpeech, fine-tuning=false2022.11 | 6.2 | |
| MMSpeechunsup-speech=AISHELL-2, fine-tuning=false2022.11 | 6.7 | |
| Transformer2022.11 | 7.5 |