Comments (3)
如果解释起来比较麻烦,也可以用中文交流,为什么选择spec_length中最短的作为最终的长度呢?
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另外的问题就是这里为什么要剪切呢?原版的vits这里似乎没有剪切,就是padding到了整个batch里的最大长度,而在你的代码里却是先padding到整个batch的最大长度,之后又剪切到了最小长度?
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为了让一个batch里都是有用的语音而不是浪费时间在pad转pad上
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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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