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从Hugging Face下载数据测试whisper、fast_whisper耗时

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时长比较短的音频:https://huggingface.co/datasets/PolyAI/minds14/viewer/en-US

时长比较长的音频:https://huggingface.co/datasets/librispeech_asr?row=8

下载数据集

from datasets import load_datasetminds_14 = load_dataset("PolyAI/minds14", "en-US", split="train",cache_dir="./datasets")  # for en-US
# to download all data for multi-lingual fine-tuning uncomment following line
# minds_14 = load_dataset("PolyAI/all", "all")# see structure
print(minds_14)# load audio sample on the fly
audio_input = minds_14[0]["audio"]  # first decoded audio sample
intent_class = minds_14[0]["intent_class"]  # first transcription
intent = minds_14.features["intent_class"].names[intent_class]# use audio_input and language_class to fine-tune your model for audio classification

使用whisper测试

使用fast whisper

下载安装

 报错提示:

Could not load library libcudnn_ops_infer.so.8. Error: libcudnn_ops_infer.so.8: cannot open shared object file: No such file or directory
Please make sure libcudnn_ops_infer.so.8 is in your library path!

 

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