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如何使用多种信噪比数据来训练一个model? #48
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你好,很感谢您的代码,然我对se有了更深的理解。
现在我有一些问题需要您的帮助。
1.您的代码中prepare_data.py中的pack_features中
这一部分我有点疑惑“Pad start and finish of the spectrogram with boarder values.”
这里为什么要使用边界值来填充谱图呢?
2.您的代码中是针对单独的SNR来进行增强过程的,我想问的是,我能不能通过多种信噪比的混合语音训练一个泛化性能较好的模型?具体实现方法您可不可以给一些建议?
3.您可不可以帮忙解释一个问题:
进行短时傅里叶变换的方法之间的区别 一个是使用librosa库,一个是您代码中的scipy库?
期待您的回复!
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