Comments (1)
首先,我感觉wavernn的速度不快,建议换成melgan、multi-band melgan。
关于你的问题,可以参考 ref1 ref2 ref3
pytorch > onnx -> pb(tensorflow)
结合自己使用onnx经验,我这里的wavernn不能导出onnx,或者很复杂(推理阶段是变长的for循环,onnx不支持,需要将计算图分解多个)
所以还是推荐使用melgan、multi-band melgan、parallel wave gan
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Related Issues (20)
- 如何增加symbol? HOT 1
- 推理多路并发 HOT 2
- 关于使用tacotron2训练过拟合的问题,wavernn调用的问题 HOT 1
- 关于wavernn preprocess 的语料准备 HOT 2
- 分享一下音色finetune的结果 HOT 3
- 如何加载 gmm attention HOT 1
- 尝试生成训练数据,运行python tacotron_preprocess.py HOT 1
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- speaker adaptive 微调参数 HOT 1
- 您好,请问有测试过合成声音的实时性吗? HOT 3
- finetune训练速度比较慢 HOT 1
- 关于“align.png”问题 HOT 1
- 对齐图错位问题 HOT 3
- 请问预测阶段的batch_size如何调大,以及对应的预测数据如何调整呢,谢谢 HOT 1
- where is the docker images? HOT 1
- tacotron_synthesize.py 生成梅尔频谱需要两秒到三秒,请问Tacotron2是不是比较慢,还是其他调参的原因? HOT 1
- 关于graves attention如何修改architecture_wrappers.py的问题 HOT 2
- 生成不完整 HOT 1
- 关于路径配置问题 HOT 3
- 请教下,怎么生成16000 Hz的wav? HOT 4
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