Welcome to the captivating world of VOCA (Voice Operated Character Animation)! This innovative framework allows you to create stunning facial animations that respond to speech signals, bringing characters to life in ways that are more engaging than ever. In this guide, we’ll take you through the setup process, dig into some of its functionalities, and troubleshoot any issues you might encounter along the way.
What is VOCA?
VOCA is a powerful speech-driven facial animation framework capable of synthesizing realistic character animations based on audio. This means that you can take a recording of someone speaking, and the VOCA system will animate a character’s facial features accordingly, creating a seamless blend of speech and expression.
Setting Up VOCA
To get VOCA up and running, follow the detailed steps outlined below:
- Requirements: Ensure that you have Python 3.6.8 and Tensorflow 1.14.0 installed on your system.
- Install pip and virtualenv: Run the following command in your terminal:
sudo apt-get install python3-pip python3-venv - Install ffmpeg:
sudo apt install ffmpeg - Clone the VOCA GitHub repository:
git clone https://github.com/TimoBolkart/voca.git - Set up a virtual environment:
mkdir your_home_dir.virtualenvspython3 -m venv your_home_dir.virtualenvs/voca - Activate the virtual environment:
cd vocasource your_home_dir.virtualenvs/voca/bin/activate - Update pip:
pip install -U pip==22.0.4 - Install necessary libraries:
pip install -r requirements.txt
Grabbing the Data
You need various data files to run the demo. Follow these steps to acquire them:
- Download the trained VOCA model, audio sequences, and template meshes from MPI-IS VOCA.
- Download the FLAME model from MPI-IS FLAME.
- Download the trained DeepSpeech model (v0.1.0) from Mozilla DeepSpeech.
Prepare these files by executing:
.fetch_data.sh
Running the Demos
Now that you have everything set up and the data ready, let’s dive into running some demos!
- Synthesize Character Animation: Use the following command to create an animation based on a specific speech audio file:
python run_voca.py --tf_model_fname .modelgstep_52280.model --ds_fname .ds_graphoutput_graph.pb --audio_fname .audiotest_sentence.wav --template_fname .templateFLAME_sample.ply --condition_idx 3 --out_path .animation_output - Add Eye Blinks: You can inject eye blinks into your animation like this:
python edit_sequences.py --source_path .animation_outputmeshes --out_path .FLAME_eye_blink --flame_model_path .flamegeneric_model.pkl --mode blink --num_blinks 2 --blink_duration 15
Troubleshooting
While setting up VOCA, you might encounter a few hiccups. Here are some common issues and their solutions:
- ModuleNotFoundError: If you see an error such as “ModuleNotFoundError: No module named psbody,” ensure that MPI-IS mesh is installed correctly in your virtual environment.
- Remote Configuration Issue: If you are running the demo remotely and experience visualization problems, you can disable visualization by adding the flag:
--visualize False
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
A Deep Dive: Understanding VOCA Outputs
To understand the output of VOCA, imagine that VOCA is like a talented painter, and every audio input is a unique color palette. When the “speech” (the color) reaches the painter, it becomes a vibrant character animation (the painting). The painter skillfully blends these colors to create variations like eye blinks and facial expressions, bringing the character to life in a way that mimics real human interaction.
In Conclusion
With just a few setup steps, you can unleash the magic of VOCA and transform your static characters into animated beings that express emotions through speech. The possibilities for creative expression are immense!
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

