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<span style="color: blue;">🎵</span> WavJourney: Compositional Audio Creation with LLMs

<i>We are actively seeking research and commercial cooperation in advancing AI-assisted multimedia storytelling. If you are interested, please email xubo.liu@surrey.ac.uk for more details!</i> :open_hands:

This repository contains the official implementation of "WavJourney: Compositional Audio Creation with Large Language Models".

Starting with a text prompt, WavJourney can create audio content with engaging storylines encompassing personalized speakers, lifelike speech in context, emotionally resonant music compositions, and impactful sound effects that enhance the auditory experience.

Welcome to share your creation with Discord or the HuggingFace community!

Preliminaries

1. Install the environment:

bash ./scripts/EnvsSetup.sh

2. Activate the conda environment:

conda activate WavJourney

3. (Optional) You can modify the default configuration in config.yaml, check the details described in the configuration file.
4. Pre-download the models (might take some time):

python scripts/download_models.py

5. Set the WAVJOURNEY_OPENAI_KEY in the environment variable for accessing GPT-4 API [Guidance]

export WAVJOURNEY_OPENAI_KEY=your_openai_key_here

6. Set environment variables for using API services.

# Set the port for the WAVJOURNEY service to 8021
export WAVJOURNEY_SERVICE_PORT=8021

# Set the URL for the WAVJOURNEY service to 127.0.0.1
export WAVJOURNEY_SERVICE_URL=127.0.0.1

# Limit the maximum script lines for WAVJOURNEY to 999
export WAVJOURNEY_MAX_SCRIPT_LINES=999

7. Start Python API services (e.g., Text-to-Speech, Text-to-Audio)

bash scripts/start_services.sh

Web APP

bash scripts/start_ui.sh

Commandline Usage

python wavjourney_cli.py -f --input-text "Generate a one-minute introduction to quantum mechanics" 

Kill the services

You can kill the running services via this command:

python scripts/kill_services.py

(Advanced features) Speaker customization

You can add voice presets to WavJourney to customize the voice actors. Simply provide the voice id, the description and a sample wav file, and WavJourney will pick the voice automatically based on the audio script. Predefined system voice presets are in data/voice_presets.

You can manage voice presets via UI. Specifically, if you want to add voice to voice presets. Run the script via command line below:

python add_voice_preset.py --id "id" --desc "description" --wav-path path/to/wav --session-id ''

What makes for good voice prompt? See detailed instructions <a href="https://github.com/gitmylo/bark-voice-cloning-HuBERT-quantizer">here</a>.

Hardware requirement

• The VRAM of the GPU in the default configuration should be greater than 16 GB.
• Operation system: Linux.

Citation

If you find this work useful, you can cite the paper below:

@article{liu2023wavjourney,
    title   = {WavJourney: Compositional Audio Creation with Large Language Models},
    author  = {Liu, Xubo and Zhu, Zhongkai and Liu, Haohe and Yuan, Yi and Huang, Qiushi and Liang, Jinhua and Cao, Yin and Kong, Qiuqiang and Plumbley, Mark D and Wang, Wenwu},
    journal = {arXiv preprint arXiv:2307.14335},
    year    = {2023}
}

Appreciation

• Bark for a zero-shot text-to-speech synthesis model.
• AudioCraft for state-of-the-art audio generation models.

Disclaimer

We are not responsible for audio generated using semantics created by this model. Just don't use it for illegal purposes.