Press Release: audEERING and iMotions collaborate to refine human behavioral research

iMotions multimodal platform showing audEERING's voice analysis powered by devAIce®

audEERING, the German market leader for AI-based audio analysis, is cooperating with iMotions, the world’s leading provider of software for interdisciplinary research into human behavior, to expand measurement and analysis areas in human science research. With the integrated voice AI component, the multimodal software suite takes on another dimension that provides insights into human behavior.

devAIce® SDK 3.8 and 3.9 Updates – New Powerful Module

devAIce SDK 3.7.0 Update Header presenting devices like smartwatch, headphones and VR glasses

We are pleased to unveil the latest updates in devAIce® SDK 3.8 and 3.9, bringing substantial improvements and new features to boost your development experience. In this blog post, we will provide a comprehensive overview of the noteworthy enhancements introduced in these releases. This includes the introduction to our new module, which can be used to analyze audio quality.

Robots Learn Empathy 

Hanson Robotics in cooperation with audEERING - leading innovator in Voice AI

audEERING and Hanson Robotics develop robots with the highest social competence for everyday use. One of the world’s leading robot manufacturers Hanson Robotics integrates automated emotion recognition devAIce from German AI company audEERING. Highest level of human-machine interaction opens up new chances for the use of robots on the job, for example in caregiving. Robots recognize the emotions of their counterparts by voice and increase their social competence as a result.

devAIce® Web API 4.1.0 Update

Web API Update Header presenting a Smartphone and Laptop with download symbol devAIce Web API 4.1.0 Update

This latest release of devAIceⓇ Web API introduces updated dimensional and categorical emotion models in the Emotion (Large) module. In benchmarks, the new versions of these models are shown to be significantly more robust against background noises and different recording conditions than the previous models, all while keeping the computational complexity of the models unchanged.