Case Study: Tone AI boosts fan engagement and audience growth with Hume AI’s Expression Measurement API

A Hume AI Case Study

Preview of the Tone AI Case Study

Tone AI - Customer Case Study

Tone AI, an AI-powered marketing analytics platform, needed a scientific solution to analyze nuanced emotional expressions in audio for its sports, media, and entertainment clients. To help brands better engage their audiences, Tone AI required a way to rigorously assess large quantities of audio files from fan interactions to find the most emotionally resonant content.

By integrating Hume AI’s Expression Measurement API, Tone AI was able to analyze and curate the most emotionally salient audio clips. Using Hume AI’s technology, Tone AI helped the Chicago Bears enhance fan loyalty by creating compelling highlight reels from hundreds of fan voice tributes. The solution analyzed fan expressions from 400 cities across 10 different countries, leading to the creation of more engaging and emotionally resonant content for their clients.


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Tone AI

Ria Shah

Chief Executive Officer


Hume AI

28 Case Studies