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Enterprise Layer Intelligence
Categories/Voice AI/Behavioral Signals
Behavioral Signals

Behavioral Signals

Founded 2016

Analyze vocal emotions and detect speech deepfakes

You can use Behavioral Signals to evaluate spoken conversations for human emotions, behavior, and audio authenticity. The system listens to vocal delivery, tone, prosody, and conversational style rather than just transcribing words. It detects AI-generated voice deepfakes in real time during live calls and extracts metrics such as hesitation, arousal, and positivity. Businesses also use its routing capabilities to match incoming callers with customer service representatives based on behavioral compatibility profiles to improve call resolution and sales outcomes.

What Behavioral Signals does

Detect AI-generated speech in live audio streamsScore speaker emotion and arousal levels per utteranceRoute incoming callers to compatible support agentsExtract speaking rate and hesitation timestamps from audioClassify speaker age and gender from vocal tracksDeploy custom speech models to private cloud or edge hardwareReal-time voice deepfake detection on live phone callsAcoustic and behavioral cue analysis without language dependenciesEmotion recognition tracking positivity, arousal, and sadnessConversational metrics scoring speaking rate, hesitation, and engagementSpeaker attribute profiling including age and gender estimationBehavioral customer-agent routing engine for call centersFlexible deployment options across cloud, on-premises, and edge devices

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Behavioral Signals, voice AI, speech emotion recognition, deepfake detection, voice deepfakes, speech analytics, acoustic analysis, call routing, audio authentication, prosody analysis, speaker profiling, voice fraud detection