Comments (1)
Question: What's the difference between funcodec and encodec on time-domain models ?
Response: Thanks for your question. The differences are as follows:
- We involve a power-spectrum loss to enhance the quality in middle frequency, as shown in the Table 3 of the paper https://arxiv.org/abs/2309.07405.
- We provide low and normal frame-rate models trained both on LibriTTS and internal industrial datasets. As a result, our low frame-rate model achieves the SOTA ViSQOL scores on commonly-used datasets including AiShell, Librispeech, Wenet, giga speech and so on.
- FunCodec as a toolkit provides full training and inference capacity, while Encodec only release a model and inference recipe.
- FunCodec as a toolkit provides a super set of features than other open-source toolkits, including distributed training, batchified inference, more discriminators and frequency-domain models.
BTW. Codec based text-to-speech and music models will be released soon.
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Related Issues (20)
- Relation between bitrate and token ratio HOT 2
- LauraTTS: _pickle.UnpicklingError: invalid load key, 'v'. HOT 5
- Low-complexity FreqCodec requires a lot of VRAM HOT 3
- ERROR Generating with prompt text and prompt audio HOT 8
- Questions about training from scratch HOT 2
- TKR? HOT 5
- TypeError: 'NoneType' object is not callable HOT 4
- [bug] encoding阶段生成的codec.txt, 无法直接读取? HOT 1
- Discriminator loss? HOT 5
- LauraTTS模型的训练花了多长时间? HOT 5
- 如何仅用funcodec的4层或者8层量化器进行推理 HOT 2
- zipfile.BadZipFile: File is not a zip file HOT 1
- run.sh: 34: utils/parse_options.sh: Syntax error: Bad for loop variable
- How to check progress? HOT 1
- 运行run.sh在stage 4时报错 HOT 2
- Stage 3 HOT 1
- Feature to resume training after stopping?
- NET/Plugin : dlerror=libnccl-net.so: cannot open shared object file: No such file or directory No plugin found (libnccl-net.so)
- Out of memory when train on large dataset (librilight)
- Stage 1 can only be run on one gpu card 0 HOT 1
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