What is audEERING?
audEERING’s Voice AI technology can extract roughly 7,000 acoustic parameters from speech, covering three major dimensions—phonation, articulation, and prosody—to comprehensively capture the complexity of vocal expression. Its solutions have been applied across various fields such as market research, automotive HMI, robotics and IoT, and healthcare, while also supporting customized development. Since 2025, the company has been a member of the Agile Robots SE Group.
Key features
devAIce® offers SDKs, Web APIs, and XR plugins, integrating all voice analysis models and supporting deep customization;
AI SoundLab is a GDPR-compliant audio data collection tool designed specifically for voice biomarker analysis, ensuring privacy and security.
Use cases and audience
Targeted at market research firms, automotive manufacturers, robotics and IoT developers, healthcare research teams, and XR application developers
- Market Research
- Human-Computer Interaction in Automotive Applications
- Voice Biomarker Analysis in the Healthcare Sector
Raw speech audio (supporting multiple formats), compliant with GDPR privacy and security requirements
Voice expression recognition results based on approximately 7,000 acoustic parameters, including emotional tendencies, expression intensity, acoustic events, speech contexts, and potential voice biomarkers
Frequently asked questions
How many acoustic parameters can audEERING®’s voice analysis technology detect?
It can detect approximately 7,000 acoustic parameters, covering speech dimensions such as phonation, articulation, and prosody.
Which game engines are supported by devAIce® XR?
Supports Unity and Unreal engines.
How to use
- 01
Visit our official website to learn about devAIce®, devAIce® XR, or AI SoundLab products
- 02
Choose from SDK, Web API, or Unity/Unreal plugin integration options based on your needs
- 03
Use AI SoundLab to securely collect voice data compliant with GDPR
- 04
Invoke the audEERING® voice analysis model to parse acoustic parameters and extract expressive features
Official website & sources
Updated on 2026-10-30
