Spaces:
Sleeping
Pretrained Models Dependency
The models dependency of Amphion are as follows (sort alphabetically):
The instructions about how to download them is displayed as follows.
Amphion Singing BigVGAN
We fine-tune the official BigVGAN pretrained model with over 120 hours singing voice data. The fine-tuned checkpoint can be downloaded here. You need to download the 400000.pt
and args.json
files into Amphion/pretrained/bigvgan
:
Amphion
β£ pretrained
β β£ bivgan
β β β£ 400000.pt
β β β£ args.json
Amphion Speech HiFi-GAN
We trained our HiFi-GAN pretrained model with 685 hours speech data. Which can be downloaded here. You need to download the whole folder of hifigan_speech
into Amphion/pretrained/hifigan
.
Amphion
β£ pretrained
β β£ hifigan
β β β£ hifigan_speech
β β β β£ log
β β β β£ result
β β β β£ checkpoint
β β β β£ args.json
ContentVec
You can download the pretrained ContentVec model here. Note that we use the ContentVec_legacy-500 classes
checkpoint. Assume that you download the checkpoint_best_legacy_500.pt
into the Amphion/pretrained/contentvec
.
Amphion
β£ pretrained
β β£ contentvec
β β β£ checkpoint_best_legacy_500.pt
WeNet
You can download the pretrained WeNet model here. Take the wenetspeech
pretrained checkpoint as an example, assume you download the wenetspeech_u2pp_conformer_exp.tar
into the Amphion/pretrained/wenet
. Unzip it and modify its configuration file as follows:
cd Amphion/pretrained/wenet
### Unzip the expt dir
tar -xvf wenetspeech_u2pp_conformer_exp.tar.gz
### Specify the updated path in train.yaml
cd 20220506_u2pp_conformer_exp
vim train.yaml
# TODO: Change the value of "cmvn_file" (Line 2) to the absolute path of the `global_cmvn` file. (Eg: [YourPath]/Amphion/pretrained/wenet/20220506_u2pp_conformer_exp/global_cmvn)
The final file struture tree is like:
Amphion
β£ pretrained
β β£ wenet
β β β£ 20220506_u2pp_conformer_exp
β β β β£ final.pt
β β β β£ global_cmvn
β β β β£ train.yaml
β β β β£ units.txt
Whisper
The official pretrained whisper checkpoints can be available here. In Amphion, we use the medium
whisper model by default. You can download it as follows:
cd Amphion/pretrained
mkdir whisper
cd whisper
wget https://openaipublic.azureedge.net/main/whisper/models/345ae4da62f9b3d59415adc60127b97c714f32e89e936602e85993674d08dcb1/medium.pt
The final file structure tree is like:
Amphion
β£ pretrained
β β£ whisper
β β β£ medium.pt
RawNet3
The official pretrained RawNet3 checkpoints can be available here. You need to download the model.pt
file and put it in the folder.
The final file structure tree is like:
Amphion
β£ pretrained
β β£ rawnet3
β β β£ model.pt