Blues in the voice: How audio analysis makes empathy audible
With the onset of the dark season, many people talk about mental health. This is a good time to show how technology can help us better understand the human experience. audEERING’s Expression Recognition technology analyzes acoustic signals such as pitch, speech rate, and voice tension to recognize emotional expressions in context. But how can a […]
An interview with PD Dr Cornelius Werner
An evaluation of the status quo and the future of empathic AI-supported triage systems PD Dr. Cornelius Werner is a neurologist and geriatrician specializing in movement disorders, neurogenic dysphagia, and neurorehabilitation. He heads the Department of Neurology and Geriatrics at Johanniter Hospital Genthin-Stendal and is committed to improving medical care in his region. He also leads […]
How SHIFT Makes Cultural Heritage Immersive & Accessible
When art becomes audible and history becomes tangible What began three years ago as an ambitious European research initiative is now becoming reality: The SHIFT project is transforming how we engage with museums, archives, and cultural heritage. With a strong consortium of academic, creative, and tech-driven partners, SHIFT brings together AI, haptics, and emotional voice […]
Understanding AI Hallucinations
audEERING’s approach to Responsible AI Whether fabricated sources, non-existent studies, or artificially generated biographies, AI hallucinations are not a brief side effect of innovation. They are structurally embedded. But what exactly is an AI hallucination? How do hallucinations differ from biases? How risky are they, and who is responsible? This article provides context and explains […]
Full creative control: supported by devAIce®
Daisys, a pioneering Dutch company, is redefining text-to-speech (TTS) technology by giving users full creative control over synthetic voices. Their platform enables users to act as voice directors, shaping every nuance of AI-generated speech – from vocal tone and style to expressive intent.
White Paper
What your voice reveals – Vocal Expression AI with audEERING’s devAIce® audEERING’s latest white paper: From human behavior to cutting-edge Voice AI technology Your voice is more than just a tool for communication – it’s a reflection of your emotions, energy, and even health. With devAIce® v3.14.0, audEERING® introduces the latest advancements in AI-powered voice analysis, […]
How We Do Empathic AI
A treatise on interpersonal communication as the baseline for the human-machine interaction of the future How humans communicate and create conversations with empathy Empathy is the cornerstone of human connection, shaping the way we communicate and understand each other. While words convey information, the tone of voice, vocal expression, and overall vocal impression reveal the […]
audEERING partners with Agile Robots
AI Audio Analysis Leader audEERING Partners with Agile Robots German AI pioneers from the German Aerospace Center and Technical University of Munich join forces to drive the development of AI-based audio and speech analysis for advanced robotic solutions. audEERING® joins Agile Robots 03.03.2025, Munich – The Munich-based leading provider of AI-driven automation solutions, Agile Robots SE, […]
devAIce® SDK 3.14 & Web API 4.7: Expression Upgrade (Large)
The latest devAIce® SDK 3.14 and Web API 4.7 releases bring a significant boost to the Expression (Large) module, making it more accurate and efficient than ever before. devAIce® SDK 3.14 & Web API 4.7: Expression Upgrade (Large) Upgrades for enhanced accuracy & performance The Expression (Large) module’s dimensional and categorical models have been updated […]
Where It All Began: AI vs. Algorithms
Origins of Algorithms, AI and Machine Learning Artificial intelligence is everywhere today. It recommends movies, answers questions, and even drives cars. But what exactly is behind the term? Where does a simple algorithm end, and where does real AI begin? Understanding the history of these technologies reveals why they are often confused – and why […]
Will We Self-Diagnose Soon?
Will AI Make the Diagnosis of Mental Illnesses Easier? Depression is one of the most widespread mental health disorders today. In Germany alone, 9.49 million people were diagnosed with depression in 2022, representing 12.5% of the population. These numbers are rising, yet only a fraction of affected individuals seeks help. Despite growing awareness, the stigma […]