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.

devAIce® SDK 3.7.0 Update

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

Today, we are happy to announce the public release of devAIceⓇ SDK 3.7.0. This update comes with several noteworthy model updates for emotion and age recognition, the deprecation of the Sentiment module, as well as numerous other minor tweaks, improvements and fixes.

devAIce Web API 4.0.0 Update

devAIce Web API with a updated 4.0.0 Version including modernized and simpllified set of new API endpoints

We are proud to announce version 4.0.0 as a major update to devAIce Web API that is available to customers today. Most notably, this release introduces a modernized and simplified set of new API endpoints, all-new client libraries with support for more programming languages, OpenAPI compatibility, as well as an enhanced command-line interface tool. It also includes recent model updates and performance improvements from the latest devAIce SDK release, i.e. support for the Dominance emotion dimension and accuracy improvements of up to 15 percentage points. 

devAIce® SDK 3.6.1 Update

devAice SDK 3.6.1 Update in a Emotion dimensions cube: valence, arousal, dominance

The devAIce® team is proud to announce the availability of devAIce SDK 3.6.1 which comes with a number of major enhancements, exciting new functionality and smaller fixes since the last publicly announced version, 3.4.0. This blog post summarizes the most important changes that have been introduced in devAIce® SDK since then.

Big Data AI Summit: Talk on Voice Biomarkers

bitkom Big data AI summit with audEERING Talk on Voice biomarker

“Audio AI in medicine – is voice the new blood?” We are developing voice biomarkers at audEERING and that is the reason why our CEO Dagmar Schuller recently held a talk at this year´s Big Data AI Summit.

How Speaker Identification Affects Emotion Detection

Speaker identification affects the emtoion detection from Voice AI

Speaker Identification is an important part of voice-based technologies like voice and speech recognition. It can provide unique information like gender and age. So how can it affect a technology like emotion detection from speech?