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A training code template for DNN-based speech enhancement.

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你好,请问你的GTCRN模型,能够保证实时性和因果性吗?

非常感谢贡献了这个pipeline。我在训练时想主动退出,但会出现进程泄露问题,请问这个pipeline应该如何kill?

when i run datasets.py , where is INFO.csv

max_index = np.argmax(np.abs(rir)) rir = rir[max_index:] rir_e = rir[:min(int(100 * 16000 / 1000), len(rir))] # rir_e: early rir, 选取前100ms的rir,用来生成低混响的干净语音 rev_clean = add_pyreverb(clean, rir) # reverbrant clean speech drb_clean = add_pyreverb(clean,...