Filter. Analyze. Detect.
Our technology evaluates very short voice recordings based on emotional characteristics like pitch, voice timbre, intonation and speech rhythm. Based on this evaluation it enables to define how emotionally excited somebody is. Using innovative machine intelligence and deep learning techniques, audEERING’s products are able to automatically analyze e. g. acoustic scenes, speaker states as well as over 50 emotional states.
The evaluation combines the content analysis of a person’s answers – what the person says – with the implicit emotional components. This works based on an algorithm which gathers data sets and classifies, sorts and matches them with cluster values.
Our software can calculate up to 6.000 audio characteristics and can identify emotional nuances in order to match them with concrete emotions.