Comments (6)
Btw, eval section of the tensorboard shows nothing. Is this expected?
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Tested on my 290k checkpoint and it can convert properly. I guess your problem might be caused by dataset imbalance (i.e. data of some tgt speakers are too little compared to other speakers).
Eval section of the tensorboard is not empty. Maybe you did not tick on '<log_dir>/eval' on the bottom left corner of tensorboard.
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Indeed my custom speakers have fewer total time per speaker (about 600-700 seconds) than VCTK speakers. But why male to male conversion works OK for the custom speakers.
I guess I have to level out the data for all speakers.
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No idea. (@_@;)
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In the original VCTK there are speakers ranging from 600 seconds to 1000 seconds. I'll try with the vocoder trained on the joint dataset and see whether this is the actual reason why conversion isn't consistent for additional speakers.
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Btw, eval section of the tensorboard shows nothing. Is this expected?
@skol101 , You did haven't computed and wrote eval loss to tensorboard in train.py @OlaWod
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Related Issues (20)
- 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?
- Changing batch size to 16 or 32
- 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
- About checkpoint HOT 1
- Killed on Linux
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