Hume EVI is an empathic voice interface platform that measures and generates emotionally expressive speech for next-generation AI applications.
Hume AI builds emotion-aware voice technology: its Empathic Voice Interface (EVI) listens to vocal nuance, detects emotional expression and responds with speech that adapts its tone in real time. The Octave text-to-speech engine generates highly expressive voices controllable by describing the intended emotion and style. For enterprises, the platform offers measurement APIs that quantify vocal, facial and language expression. It represents the leading edge of affective computing applied to voice.
Sign up for developer access, obtain API keys and integrate the EVI streaming interface or Octave TTS into your application. Define the emotional behavior you want, test against real conversational scenarios and measure expression outputs as you iterate.
Hume offers a free trial with developer credits; usage-based pricing scales with API calls across EVI, Octave TTS and expression measurement services.
AI application developers, conversational product teams and researchers building emotionally intelligent voice experiences.
Hume provides free developer credits to evaluate EVI and Octave; production usage is billed based on API call volume.
Yes. Hume is API-first — EVI, Octave TTS and expression measurement are all delivered through documented developer APIs and SDKs.
Compared with conventional TTS platforms, Hume’s differentiator is emotional intelligence — voices that adapt expression dynamically rather than reciting text neutrally.
Hume is developer infrastructure — non-technical users won’t get much from it directly. Emotion-aware design also raises responsibility considerations; build with user consent and wellbeing in mind.
Hume’s voices adapt emotional expression dynamically based on conversational context, rather than reading text in a fixed tone — the result sounds more like a responsive speaker than a synthesizer.
Hume is developer infrastructure delivered by API and SDK; non-technical users will find little to use directly. Its value appears when embedded inside applications.
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