/Audiovisual-Synthesis

Unsupervised Any-to-many Audiovisual Synthesis via Exemplar Autoencoders

Primary LanguagePython

Audiovisual-Synthesis

Unsupervised Any-to-many Audiovisual Synthesis via Exemplar Autoencoders

Kangle Deng, Aayush Bansal, Deva Ramanan

project page / demo / arXiv

This repo provides a PyTorch Implementation of our work.

Acknowledgements: This code borrows heavily from Auto-VC and Tacotron.

Summary Video

Dependencies

First, make sure ffmpeg installed on your machine.

Then, run: pip install -r requirements.txt

Data

We provide our CelebAudio Dataset at link.

Train

Voice Conversion

Check 'scripts/train_audio.sh' for an example of training a Voice-Conversion model. Make sure directory 'logs' exist.

Generally, run:

python train_audio.py --data_path PATH_TO_TRAINING_DATA --experiment_name EXPERIMENT_NAME --save_freq SAVE_FREQ --test_path_A PATH_TO_TEST_AUDIO --test_path_B PATH_TO_TEST_AUDIO --batch_size BATCH_SIZE --save_dir PATH_TO_SAVE_MODEL

Audiovisual Synthesis

Check 'scripts/train_audiovisual.sh' for an example of training a Audiovisual-Synthesis model. We usually train an audiovisual model based on a pretrained audio model.

1-stage generation -- video resolution: 256 * 256

Generally, run:

python train_audiovisual.py --video_path PATH_TO_TRAINING_DATA --experiment_name EXPERIMENT_NAME --save_freq SAVE_FREQ --test_path PATH_TO_TEST_AUDIO --batch_size BATCH_SIZE --save_dir PATH_TO_SAVE_MODEL --use_256 --load_model LOAD_MODEL_PATH

2-stage generation -- video resolution: 512 * 512

If you want the video resolution to be 512 * 512, use the StackGAN-style 2-stage generation.

Generally, run:

python train_audiovisual.py --video_path PATH_TO_TRAINING_DATA --experiment_name EXPERIMENT_NAME --save_freq SAVE_FREQ --test_path PATH_TO_TEST_AUDIO --batch_size BATCH_SIZE --save_dir PATH_TO_SAVE_MODEL --residual --load_model LOAD_MODEL_PATH

Test

Voice Conversion

Check 'scripts/test_audio.sh' for an example of testing a Voice-Conversion model.

To convert a wavfile using a trained model, run:

python test_audio.py --model PATH_TO_MODEL --wav_path PATH_TO_INPUT --output_file PATH_TO_OUTPUT

Audiovisual Synthesis

Check 'scripts/test_audiovisual.sh' for an example of testing a Audiovisual-Synthesis model.

1-stage generation -- video resolution: 256 * 256

python test_audiovisual.py --load_model PATH_TO_MODEL --wav_path PATH_TO_INPUT --output_file PATH_TO_OUTPUT --use_256

2-stage generation -- video resolution: 512 * 512

python test_audiovisual.py --load_model PATH_TO_MODEL --wav_path PATH_TO_INPUT --output_file PATH_TO_OUTPUT --residual