NVIDIA
NVIDIA
Audio2Face-3D Model
Model
NVIDIA
NVIDIA
Audio2Face-3D Model

NVIDIA Audio2Face is a microservice for animating 3D character's facial characteristics to match any audio track, whether for a game, film, or real-time digital assistant.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Task/Domain:Customer Service, Media & Entertainment
Model Type:Transformer, CNN
Intended Users:Interactive avatar developers, Digital content creators
Output:Facial pose
Describe how the model works:Audio input is encoded and concatenated with emotion label, then passed into CNN-based pose decoder to output facial pose.
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:Not Applicable
Technical Limitations & Mitigation:This model may not work well with poor audio input.
Verified to have met prescribed NVIDIA quality standards:Yes
Performance Metrics:Lipsync accuracy, Latency, Throughput
Potential Known Risks:This model may generate inaccurate lip poses given low-quality audio input.
Licensing:Use of this model is governed by the NVIDIA Open Model License