vocoders

Experiments for vocoder.

Model list

• 01_hifigan : HiFiGAN
• 02_hifigan_amp : HiFiGAN with AntiAliasActivation
• 03_bigvgan : BigVGAN-base
• 04_vocos : Vocos
• 05_bigvgan_f0 : BigVGAN-base with NSF module
• 06_ms_istft_bigvgan_f0 : BigVGAN-base with NSF module, iSTFT and Learnable PQMF
• 07_ms_bigvgan_f0 : BigVGAN-base with NSF module and Learnable PQMF
• 08_hifigan_f0 : HiFiGAN with NSF module
• 09_ms_hifigan_f0 : HiFiGAN with NSF module and learnalble PQMF
• 10_san_ms_hifigan_f0 : HiFiGAN with NSF module and learnable PQMF and utilizing SAN

Usage

The directiory for experiment is located in exp.

1. Preprocessing (00_preprocess)

1. Split dat to train/valid
2. Extract F0 with Harvest

Default config is located in vocoders/vocoders/bin/conf/path/dummy.yaml, so if you run with original dataset, please change the path config file.
Current system supports single-speaker or universal vocoder, and it is assumed that the audio files to be used are placed in the wav_dir.
Additionally, the audio files are expected to be 1 channel, 16-bit, 24kHz in default settings.

Then run the preprocess script

$ cd /path/to/vocoders/exp/00_preprocess/script

$ ./run.sh

2. Training

Move to the 01_traindirectory in prepared experiment directories(e.g. exp/01_hifigan) and execute the following command.

# e.g. : `01_hifigan`
$ cd /path/to/vocoders/exp/01_hifigan/01_train/script

$ ./run.sh

3. Synthesis

Move to the 02_syn directory and execute the following command.
The default checkpoint file is set as 01_train/out/ckpt/last.ckpt.
In the process, validation data is synthesized and evaluated.

# e.g. : `01_hifigan`
$ cd /path/to/vocoders/exp/01_hifigan/02_syn/script

$ ./run.sh