23 lines
476 B
Python
23 lines
476 B
Python
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import numpy as np
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import os
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import time
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import copy
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from omegaconf import OmegaConf
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import matplotlib.pyplot as plt
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import IPython.display as ipd
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# import pyaudio as pa
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import librosa
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import nemo
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import nemo.collections.asr as nemo_asr
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# sample rate, Hz
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SAMPLE_RATE = 16000
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vad_model = nemo_asr.models.EncDecClassificationModel.from_pretrained(
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"vad_marblenet"
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)
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# Preserve a copy of the full config
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cfg = copy.deepcopy(vad_model._cfg)
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# print(OmegaConf.to_yaml(cfg))
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