AssertionError / TypeError 两处报错疑问

系统：ubuntu/gpu docker 模型：Paraformer语音识别-中文-通用-16k-离线-large-长音频版 地址：https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary 其他配置：funasr:0.3.1，modelspace:0.4.1，pytorch

报错一：

/automatic_speech_recognition/FunASR-main/funasr/utils/timestamp_tools.py in ts_prediction_lfr6_standard(us_alphas, us_peaks, char_list, vad_offset, force_time_shift, sil_in_str)
     37     fire_place = torch.where(peaks>1.0-1e-4)[0].cpu().numpy() + force_time_shift  # total offset
     38     num_peak = len(fire_place)
---> 39     assert num_peak == len(char_list) + 1 # number of peaks is supposed to be number of tokens + 1
     40     # begin silence
     41     if fire_place[0] > START_END_THRESHOLD:

AssertionError: 

不确定什么情况，测试音频文件时候，有几个一直报错如上信息 看了issue#266 难道还是这个问题？ rapid_paraformer推理时当语音中包含英文时，由于英文tokens已经合并，会导致跟时间戳无法对齐 （https://github.com/alibaba-damo-academy/FunASR/issues/266）

报错二：

inference_pipeline = pipeline(
    task=Tasks.auto_speech_recognition,
    model='damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
    vad_model="",
    punc_model='damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',
    punc_model_revision="v1.1.6")

该模型无法设置vad_model = ‘’，会报错：

TypeError: 'NoneType' object is not callable

以上提问也同步在： https://github.com/alibaba-damo-academy/FunASR/issues/295