Comments (4)
there has no vits, just a bigvgan, after upsample layers use speaker info to change x with weights and biases.
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Thanks for your reply. Can I ask one more thing?
While i'm checking your repo, i noticed that you set the conv_post, activation and speaker_adaptor to be trainable.
As i know, LoRA is something like attaching linear layers to adapt other weights, but your repo seems like fine-tuning part of the model.
Is it some other adaptation of LoRA?
from lora-svc.
lora is low rank adapter, here is another adapter from micsoft AdaSpeech: Adaptive Text to Speech for Custom Voice or Adapter-Based Extension of Multi-Speaker Text-to-Speech Model for New Speakers
from lora-svc.
lora_svc is not real lora, use this name is just want svc developers to think about lora.
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Related Issues (20)
- 16k和48k的二选一还是两种都要? HOT 8
- ValueError: zero-size array to reduction operation maximum which has no identity
- 人声克隆
- SpeakerAdapter HOT 1
- 请问48K比特率是否是24bit? HOT 20
- 杂音很重 HOT 10
- 换了台 Tesla P40 来跑,结果出错了 HOT 1
- Training sample size HOT 1
- Diff-svc, so-vits-svc效果对比 HOT 6
- 训练一切正常,但是保存第一个模型时出现了ZeroDivisionError: float division by zero HOT 2
- 音色是否可以融合或者调整 HOT 1
- `svc_preprocess_f0.py` rootPath should be changed to 48k? HOT 1
- ValueError: not enough values to unpack (expected 4, got 1) HOT 4
- you implementing vocos? HOT 3
- incorrect audio shape HOT 1
- num_samples=0 HOT 2
- .
- DataSet
- data_raw
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