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我设计了一个新的Backbone: LSTMNet
代码:https://github.com/invatoric/DiffSinger-LSTMNet/blob/main/modules/backbones/lstmnet.py
1.训练速度
经过本人实测,在和wavenet相同配置的情况下,训练速度和wavenet差不多。
2.拟合速度
经过本人实测,在30000步时合成结果就已经完善。
3.推理速度
应该没问题的,推理总不可能比训练还慢吧...
4.合成效果
本人不是音乐方面的,听不太出来合成的声音效果如何。这里先放一个测试片段(训练40000步),供大家参考:
Diffsinger-LSTMNet-测试片段.zip
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