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update model tests

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aceforeverd
2025-08-28 19:05:18 +08:00
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@@ -31,10 +31,10 @@ metax-docker run -it \
## MetaX C500 模型适配情况
我们在 MetaX C500 上针对funASR部分进行了所有大类的适配，测试方式为在Nvidia A100环境下和智铠100加速卡上对同一段长音频进行语音识别任务，获取运行时间，1-cer指标。运行时都只使用一张显卡
| 模型大类 | 模型地址 |A100运行时间(秒)|智铠100运行时间(秒)|A100 1-cer|智铠100 1-cer| 备注 |
| 模型大类 | 模型地址 |A100运行时间(秒)|MetaX C500 运行时间(秒)|A100 1-cer| MetaX C500 1-cer| 备注 |
|------|---------------|-----|----|-------|-------|---------------------|
| sense_voice | https://www.modelscope.cn/models/iic/SenseVoiceSmall | 1.8327 | 1.2579 | 0.980033 | 0.980033 | |
| whisper | https://www.modelscope.cn/models/iic/Whisper-large-v3 | 23.8337 | 22.9085 | 0.910150 | 0.910150 | |
| paraformer | https://modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch | 4.7246 | 4.7719 | 0.955075 | 0.955075 | |
| conformer | https://www.modelscope.cn/models/iic/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch | 95.9631 | 125.8649 | 0.349418 | 0.346090 | |
| uni_asr | https://www.modelscope.cn/models/iic/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline | 70.5289 | 88.9481 | 0.717138 | 0.717138 | 该部分的适配修改了一些funASR源码 |
| sense_voice | https://www.modelscope.cn/models/iic/SenseVoiceSmall | 1.4411 | 1.3589 | 0.980033 | 0.980033 | |
| whisper | https://www.modelscope.cn/models/iic/Whisper-large-v3 | 23.8337 | ? | 0.910150 | ? | |
| paraformer | https://modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch | 3.9888 | 4.8517 | 0.955075 | 0.955075 | |
| conformer | https://www.modelscope.cn/models/iic/speech_conformer_asr_nat-zh-cn-16k-aishell2-vocab5212-pytorch | 80.4228 | 78.2914 | 0.349418 | 0.346090 | |
| uni_asr | https://www.modelscope.cn/models/iic/speech_UniASR-large_asr_2pass-zh-cn-16k-common-vocab8358-tensorflow1-offline | 90.8399 | 68.6999 | 0.717138 | 0.717138 | 该部分的适配修改了一些funASR源码 |