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Hume AI ✓

Measure and enhance emotional intelligence in AI.

Source rating 5.0 (1) 6k views 18 saves Freemium
Emotion Detection Voice-interface Expression Measurement
More categories (4)
Audio Expression Analysis Emotional AI Video Expression Analysis Text to speech
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Free + from $0.102

Verdict

A quick read before you dig into the full page.

Best if
You are content Creators and need: Generating expressive AI voices for podcasts, voiceovers, and audiobooks
Skip if
Limited to specific emotions
Pick this when
Empathic Voice Interface

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Overview

Hume AI is a unique AI suite designed to measure, comprehend, and enhance the influence of technology on human emotions. The platform features several key capabilities, including an Empathic Voice Interface (EVI): a conversation voice API powered by empathic AI.

The EVI is capable of assessing subtle modifications in vocal outputs, steering both language and speech responses. Trained on extensive human interactions, it exemplifies the integration of language modeling and text-to-speech capabilities, supplemented by emotional awareness, prosody, end-of-turn detection, interruptibility, and alignment.Another notable feature of Hume AI is its Expression Measurement API: a tool built on over a decade's worth of research that instantaneously captures the nuances in expressions in audio, video, and images.

This includes a range of expressions such as laughter blending with awkwardness, sighs of relief, nostalgic glances, among others.Hume AI also offers a Custom Model API: a low-code customization ability that provides insights for your application.

This model implemented transfer learning from their high-performance expression measurement models and empathic large language models (eLLMs), and it is capable of predicting almost any outcome more accurately than with language alone.Regardless of the specialization, Hume AI's focus lies with empathic AI with an emphasis on fostering human well-being.

Its commitment to developing empathic technology extends to continuous research in devising foundation models that align with human well-being.

Hume AI website

Best for

Short scenarios where Hume AI tends to shine.

  • Generating expressive AI voices for podcasts, voiceovers, and audiobooks.

    Best for Content Creators

  • Deploying emotionally intelligent voice agents in any application.

    Best for Developers

  • Creating interactive personalities for customer service, virtual assistants, or entertainment.

    Best for Businesses

  • Real-time conversational AI for enhanced user experiences.

    Best for Researchers

  • Measuring and analyzing emotional expression in various media.

    Best for Podcasters

Example outputs 1

Sample generations and before/after results for Hume AI.

Hume AI screenshot
Hume AI screenshot Hume AI website

Access & connections

Where you can use Hume AI.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API

Output

  • API

Highlights

  • SOTA

Supported features

  • TTS
  • Speech API

Models

Text

TADA 3B ML

Audio

TADA 1B TADA 3B ML

Pros & cons

Pros

  • Empathic Voice Interface
  • Expression Measurement API
  • Custom Model API
  • Measure subtle vocal outputs
  • Steers language and speech
  • Language modeling capability
  • Integrated text-to-speech
  • Emotional awareness feature
Show 39 more
  • Prosody detection
  • End-of-turn detection feature
  • Interruptibility and alignment
  • Trained on human interactions
  • Interprets nuanced expressions
  • Analyzes audio, video, images
  • Detects emotion in laughter
  • Identifies nostalgic glances
  • Low-code customization
  • Transfers learning from eLLMs
  • Predicts outcomes accurately
  • Emphasis on human well-being
  • Develops empathic technology
  • Researches foundation models
  • Interprets vocal and facial expressions
  • Instant expression capture
  • Captures sighs of relief
  • Predicts well-being outcomes
  • Single API call responses
  • EQ integration
  • Alignment with human well-being
  • Continuous foundational research
  • 10+ years research base
  • More accurate than language alone
  • Developed for human well-being
  • Large language modeling
  • Integration of speech analysis
  • Trusted by large organizations
  • Emphasizes emotional intelligence
  • Guides language generation
  • Well-being technology integration
  • Understands laughter blending awkwardness
  • EQ enhancement for text-to-speech
  • Audio expression analysis
  • Expression measurement models
  • State-of-art eLLMs
  • Outcome prediction capability
  • Unified language modeling
  • Broad range of expression capture

Cons

  • No multilingual support mentioned
  • User privacy concerns
  • Complexity in emotion interpretation
  • Highly specialized tool
  • No offline functionalities
  • Continuous internet requirement
  • Limited use-cases mentioned
  • Limited to specific emotions
Show 2 more
  • Potential misinterpretations of emotions
  • Dependent on quality of audio/video

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Releases 1

Initial release April 3, 2024 Current
Initial release of Hume AI.

In the news

Launch coverage and community mentions for Hume AI.

FAQ 12

What is Hume AI?
Hume AI is an advanced AI suite that specifically measures, comprehends, and elevates the impact of technology on human emotions. This unique platform includes an Empathic Voice Interface (EVI), a conversation voice API powered by empathic AI capable of discerning subtle changes in vocal outputs and guiding both language and speech responses. Hume AI places a major emphasis on empathic AI to promote human well-being, continuously researching and developing foundational models that align with this goal.
What is the Empathic Voice Interface (EVI) in Hume AI?
The Empathic Voice Interface (EVI) is a unique feature of Hume AI. It's a conversation voice API powered by empathic AI. The EVI can assess minor modifications in vocal outputs, thereby navigating both language and speech responses. It showcases the integration of language modeling and text-to-speech capabilities, enriched by emotional awareness, prosody, end-of-turn detection, interruptibility, and alignment. It's trained through extensive human interactions.
What is the purpose of the Expression Measurement API in Hume AI?
The primary purpose of the Expression Measurement API in Hume AI is to instantly capture the nuances in expressions in audio, video, and images. It's a tool developed from more than ten years' worth of research and is capable of identifying a vast range of expressions such as laughter interlaced with awkwardness, sighs of relief, nostalgic looks, and more.
What does the Custom Model API in Hume AI do?
The Custom Model API in Hume AI offers low-code customization, providing unique insights for your application. This model utilizes transfer learning from high-performance expression measurement models and empathic large language models. It is designed to predict almost any outcome more accurately than with language alone.
How does Hume AI use empathic technology to foster human well-being?
Hume AI uses empathic technology to foster human well-being by interpreting emotional expressions to generate empathic responses. Through its unique features like EVI, Expression Measurement API, and Custom Model API, it measures and comprehends the subtle emotional cues and expressions of users. It then leverages this understanding to guide interactions and reactions, ultimately promoting an empathetic technological environment.
How does Hume AI's empathic AI affect language and speech responses?
Hume AI's empathic AI influences language and speech responses through its Empathic Voice Interface (EVI). EVI measures nuanced vocal modulations and guides language and speech generation. By identifying and understanding subtle emotional cues from vocal outputs, it can steer interactions in ways that are both emotionally sensitive and contextually relevant.
What kind of expressions can Hume AI's Expression Measurement API capture?
Hume AI's Expression Measurement API can capture an array of expressions in audio, video, and images. This includes a variety of subtle emotional cues such as laughter interspersed with awkwardness, sighs of relief, and nostalgic glances, among others.
What is the meaning of 'interruptibility' in Hume AI?
In Hume AI, 'interruptibility' refers to the ability of the system to handle interruptions in a conversation. It enhances the conversational fluidity, making human-machine interactions more natural and empathetically responsive.
What does it mean that Hume AI uses 'empathic large language models (eLLMs)'?
Hume AI uses 'empathic large language models (eLLMs)' to understand and generate language that aligns with human emotions. These models are part of Hume AI's special emphasis on empathic AI, and they are used to better comprehend and respond to human emotional cues while generating speech and text responses.
How does Hume AI predict outcomes more accurately with its Custom Model API?
Hume AI's Custom Model API utilizes transfer learning to predict outcomes more effectively. By implementing insights from their high-performance expression measurement models and empathic large language models, it can assess various factors and elements, not just language, to make these accurate predictions.
What does the end-of-turn detection feature in Hume AI do?
The end-of-turn detection feature in Hume AI’s EVI is designed to determine when a user has finished a turn in a conversation. This unique attribute aids in making the interaction flow smoothly and naturally by initiating an appropriate response at the right time.
How is prosody detection used in Hume AI?
Prosody detection in Hume AI is used as part of its language modeling to detect patterns and variations in tone, stress, and rhythm. It aids in the recognition of emotional state and intent behind the spoken words, contributing to more holistic and empathic responses.
Hume AI Free + from $0.102
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