dataspeech/gpu_enrichments/snr_and_reverb.py [38:45]:
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            mask = np.full(res["snr"].shape, False)
            for (segment, _) in res["annotation"].itertracks():
                start = int(segment.start * ratio)
                end = int(segment.end * ratio)
                mask[start:end] = True
            mask =  (~((res["snr"] == 0.0) & (res["c50"] == 0.0)) & mask)

            vad_duration = sum(map(lambda x: x[0].duration, res["annotation"].itertracks()))
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dataspeech/gpu_enrichments/snr_and_reverb.py [60:67]:
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        mask = np.full(res["snr"].shape, False)
        for (segment, _) in res["annotation"].itertracks():
            start = int(segment.start * ratio)
            end = int(segment.end * ratio)
            mask[start:end] = True
        mask =  (~((res["snr"] == 0.0) & (res["c50"] == 0.0)) & mask)

        vad_duration = sum(map(lambda x: x[0].duration, res["annotation"].itertracks()))     
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