Hume AI’s EVI – An AI That Understands Your Emotion

Updated on April 1 2024

Hume AI is a research lab and technology company that is ensuring artificial intelligence is built to serve human goals and emotional well-being while it integrates AI and emotional intelligence. Hume AI advanced AI model stands out by interpreting vocal and facial expressions.

Hume AI’s EVI is an API powered empathic large language model (eLLM) which understands and emulates tones of voice, word emphasis and more to optimize human-AI interaction. Unlike traditional AI systems that prioritize functionality over emotional connection, Hume AI’s Evi aspires to be a supportive companion that understands and responds to human emotions.

Hume AI’s technology is designed for developers and research organizations, with potential applications in mental health diagnosis, patient monitoring, and improving user experiences across sectors.

What is Hume AI’s EVI

What is Hume AI's EVI

Evi, Empathic Voice Interface is a product by Hume AI and is exciting in its unique empathic features. This feature understands the user’s tone which gives every word a sense and this understanding allows it to guide its own language and speech. This contrasts with the way traditional AI systems operate, as they do not have the ability to understand or respond to emotional cues.

Evi stands out to other AI players in the market due to its capability to respond with real-sounding voice tones based on various expressions, understand and react to expressions by addressing the needs, and improve with time as it learns from experience.

Key Features of EVI

Speech Recognition (ASR): Accurately transcribes speech into text using Deepgram, with emotional cues linked to each sentence.

Language Generation (LLM): Generates responses using Hume’s eLLM, compatible with other APIs like OpenAI and Anthropic.

Text-to-Speech (TTS): Creates natural-sounding voices for EVI’s responses using their expressive TTS model.

Low Latency: Delivers immediate responses by running all models on a single service.
Interruption Handling: Stops talking and listens attentively when users interject.

Well-Being Focus: Designed to promote positive user experiences and satisfaction. Fine-tuning capabilities allow ongoing improvement based on user reactions.

Hume AI and Working of eLLMs

Hume AI’s Evi relies heavily on the Empathic Large Language Model (eLLM). This model is another innovative structure that incorporates traditional large language model mechanisms with the expression measuring approaches. It enables Evi to modify words and the manner of voice due to the context and emotional repercussions of human speakers.

This AI is equipped with a multimodal generator that is able to swiftly detect when the speaker is nearing the end of their turn, and hence, it responds almost immediately with a latency of less than 700 milliseconds. Also, it has the capacity to pause the conversation if the user interrupts it thus ensuring a much more natural conversational interaction.

The eLLM operates by processing the user’s input, such as tone of voice and emphasis on certain words, for recognition of the context and emotional state of the conversation. It utilizes this knowledge to generate replies which are not only situationally acceptable but also emotionally effective.

It carries out the process of language modeling, which implies the generation of coherent and contextual replies, and expression measures, which help in capturing and responding to the emotional nuances of the conversation.

Also Explore: Revoicer AI For Emotion-Based Voiceovers

Key Features of eLLM

Adaptive Language and Tone: The eLLM can dynamically change the pace and tone of its speech depending on the situation and the user’s emotional cues. Such flexibility allows Evi to produce answers that correspond to the context and synchronize with the user’s current state of mind, not only fit the situation.

End-of-Turn Detection: Evi virtual assistant has the ability to detect the end of the human turn and speak undisturbed if the user interrupts its speech. Such a function makes the conversations sound more natural and there is no awkward overlap or unnecessary pause.

Rapid Response: The eLLM is able to give a fast and with negligible delay of max 0.7 seconds required to create a near-humanly conversation. The speed in which this response is delivered means the interaction is linear and dynamic.

Integration Capability: Evi does not only have a standalone application, but its technology can be also integrated into other applications via an API. This capability makes the AI platform unique because developers can enrich their apps with empathetic capabilities, which enable the creation of human-like interactions across various fields.

Also Read: BrainGPT Unlocks Power Of AI In Neuroscience

Evi vs Other LLMs

FeatureHume AI’s EviOther LLMs like Chatgpt, Gemini
Learning EmotionsLearns directly from proxies of human happinessRelies on pre-programmed emotional responses
AI ModelMultimodal generative AI (eLLM)Standard AI models
Conversation FlowDetects end-of-turn and interruptibleProne to awkward overlaps
Text-to-SpeechExpressive speech with natural tone variationsMonotone or limited voice expression
AdaptabilityLearns and adapts to user preferencesLimited ability to personalize interactions
ApplicationsBroad potential across various domainsPrimarily used in specific tasks

EVI Early Access For Developers

Through Hume AI’s API, developers can incorporate EVI capabilities as a voice interface into their apps. To aid in its integration, Hume offers sample code, REST API, WebSocket API, and SDKs.

It can be applied to improve customer support systems, create personalized assistants, and more. Further information will be released in April 2024, when the public debut is planned.

Developers that would like early access can sign up for the waitlist and free credits for research purpose.


Hume AI’s technology is an important development in artificial intelligence. It allows machines to understand human emotions in addition to just words. This opens up many new possibilities.

Hume Evi can be used to create customer service chatbots that respond with real empathy and care. It can help healthcare workers better relate to how patients are feeling. Teaching systems can adjust based on if a student seems frustrated or confused. Evi may be very helpful for elderly people who feel lonely. An Evi companion could provide intelligent emotional support by truly listening and understanding emotions.

As this technology improves, our relationships with machines will change greatly. Machines that understand our feelings could eventually become our closest companions. Evi shows machines may soon play a big role in our emotional lives, not just give information.