25 lines
1.0 KiB
Python
25 lines
1.0 KiB
Python
import argparse
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import functools
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import sys
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sys.path.append(R"../0_EcapaTDNN")
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from macls.predict import MAClsPredictor
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from macls.utils.utils import add_arguments, print_arguments
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parser = argparse.ArgumentParser(description=__doc__)
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add_arg = functools.partial(add_arguments, argparser=parser)
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add_arg('configs', str, 'configs/ecapa_tdnn.yml', '配置文件')
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add_arg('audio_path', str, 'dataset/126153-9-0-11.wav', '测试音频路径')
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add_arg('model_path', str, '../weights/EcapaTdnn_Fbank/best_model/', '模型权重文件路径')
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args = parser.parse_args()
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print_arguments(args=args)
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# 备注： 太短的音频(0.3175ms < 0.5ms)会无法预测
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# 获取识别器
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predictor = MAClsPredictor(configs=args.configs,
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model_path=args.model_path,
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use_gpu=False)
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label, score = predictor.predict(audio_data=args.audio_path)
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print(f'音频：{args.audio_path} 的预测结果标签为：{label}，得分：{score}')
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