Comments (8)
oh yes. updated.
from freevc.
yes.
the current provided checkpoint is tuned up to 1470k steps (tune 570k steps after loading the 900k model).
from freevc.
Tomorrow night when I'm back home I'll upload it.
from freevc.
I've uploaded the corresponding discriminator. Btw this freevc-24 checkpoint is trained by loading the pretrained 16k freevc and uses a problematic data_utils code, which might degrade its performance. I'll upload a new one in a few days.
from freevc.
Thanks for updates.
If possible, can you also share the code for the 24k changed before uploading the model?
from freevc.
So you didn't train this 24khz model from scratch? you took the 900k step 16khz model and resumed training using the 24khz setting?
how many steps did you add to the model?
from freevc.
Thanks very much for replying. How long will it take to upload a new model which uses new data utils code?
from freevc.
Thanks very much!
from freevc.
Related Issues (20)
- Inference or train with WavLM-Base or WavLM-Base+? HOT 1
- Condition decoder on desired output length to have control over speech rate in inference?
- 基于您现有的模型使用aishell3训练,大概要训练多久,作者有试过吗
- Unseen Male to Male results in Female output HOT 1
- 音色转换程度不一致
- Epoch duration
- 关于算法的类型 HOT 1
- 训练了500个epoch,按照freevc.json配置进行训练,无论wav_tgt使用何种音色,测试出来的音色都是同一个?
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- poor performance on seen-to-unseen task while finetuning on Hindi language HOT 2
- 2023.01.10 update: code below can deteriorate model performance HOT 3
- Vocoder version
- Fine tuning with custom (multilingual) data HOT 1
- How to start inference example? HOT 1
- 关于训练问题
- target pitch issue after training (not appearing if using the pretrained checkpoint) HOT 1
- Config file for the FreeVC-24 checkpoint HOT 1
- training a model with 44.1k data
- Why is the speaker embedding g used to condition the Posterior Encoder and the Decoder?
- Poor results with: voice_conversion_models--multilingual--vctk--freevc24.zip CoquiTTS
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