Transforming Conversational AI: Introducing ERA (Emotionally Responsive Assistant)
audEERING’s ERA demo showcasing the integration of Voice AI into conversational AI agents marks a significant milestone in the realm of affective computing. By enabling AI assistants to comprehend and respond to human emotional expression, this innovation revolutionizes our interactions with virtual companions.
devAIce® Web API 4.2 & 4.3 Updates – Exciting Additions to audEERING’s Web API
Following the recent SDK updates, we are thrilled to announce the latest enhancements in the devAIce® Web API versions. These updates bring a host of new features and improvements to empower developers in leveraging the full potential of our advanced technology. Let’s explore the exciting additions in devAIce® 4.2 and 4.3.
devAIce® SDK 3.8 and 3.9 Updates – New Powerful Module
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
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.
Product Owner Talk with Milenko Saponja | devAIce® core technology
devAIce® integrates audio analysis in software and hardware. It is the core technology of audEERING. With the Prodct Owner Talk series audEERING introduces the human intelligence behind this technology.
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
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
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
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.
Voice AI Perceives Emotions in Every World
Human interaction is based on a language, on a context, on a world knowledge that we share. As a Voice AI company, we know that emotion is the key factor. Emotional expression gets us moving, creates movement and a collective response. It is a key factor in society. It is the basis for all the decisions we make. In creating a virtual reality, new dimensions and augmented experiences, this key factor cannot be missing.
Closing the Valence Gap in Emotion Recognition
2021 has been an exciting year for our researches working on the recognition of emotions from speech. Benefiting from the recent advances in transformer-based architectures, we have for the first time built models that predict valence with a similar high precision as arousal.