使用该paraformer-8k离线模型识别结果错误

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What is your question?

在使用该 8k ASR 模型iic/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1进行中文语音识别时，模型输出的文本结果明显错误 测试音频使用模型自带示例音频（asr_example.wav，采样率 8 kHz）。 音频内容为：每一天都要开心哦。两种方式均识别为：第千站站十千伏美一线专用花容

Code

使用funasr和modelscope.pipline的方式均错误 funasr代码如下： from funasr import AutoModel

model = AutoModel( model="iic/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1", model_revision="v2.0.4", ) res = model.generate( input=f"{model.model_path}/example/asr_example.wav", batch_size_s=300, ) print(res)

modelscope代码如下： from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks

inference_pipeline = pipeline( task=Tasks.auto_speech_recognition, model="iic/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1", model_revision="v2.0.4", )

rec_result = inference_pipeline( "models/speech_paraformer_asr_nat-zh-cn-8k/example/asr_example_8K.wav" ) print(rec_result)

What have you tried?

当更换更早版本的funasr库时，识别文本会产生变化，但均不是正确内容 16k版本paraformer-zh识别正确 请问是模型的问题还是其他问题，应该如何解决这个问题？ 希望得到您的回答，谢谢！

What's your environment?

• OS (e.g., Linux):
• FunASR Version (e.g., 1.2.7):
• ModelScope Version (e.g., 1.31.0):
• PyTorch Version (e.g., 2.9.0):
• How you installed funasr (pip, source):
• Python version:3.10
• GPU (A100-80G)
• CUDA/cuDNN version (cuda12.6):