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Enhance your voice-powered device, system or
app with the ability to understand
and analyze emotions
EMOTION AI have never been so easy to implement
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A key indicator of a speaker’s emotional state during the analyzed voice section, ranging from anger, sadness and neutrality to happiness and warmth
A metric that reflects the distributions of likelihoods of the identifiedemotion output group (e.g. low arousal). It can be controlled by the user and these adjustments clarify the expected impact on accuracy at varying levels of confidence for the application need.
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