Oliver API
for Emotion AI

Measure Emotions and Behaviors from Voice!

We have the SDKs

Start building emotionally intelligent applications

Our production-level ΑPI offers a rich variety of emotional and behavioral metrics. It allows both real-time and batch audio processing, and can readily support heavy-duty applications. It comes with comprehensive documentation, powerful SDKs for javascript, android, swift, python, java, and application examples to get a programmer up and running in minutes.

Whatever You're Building We Have the Technology

CASE STUDIES

Uniphore

Conversational AI & Automation

The Conversational AI & Automation platform that unlocks the value of every conversation. The only platform that combines computer vision, voice AI and tonal emotion.

Conversational Automation Solutions

Uniphore uses the Oliver API to create exceptional customer experiences and improve service outcomes
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AI-MC

AI-Mediated Conversations

AI-Mediated Conversations (AI-MC) is an automated call routing solution that uses emotion AI and voice data to match the customer to the best-suited agent to handle the specific call.

AI-Mediated Conversations

AI-MC is a Behavioral Signals' SaaS developed for banks, contact centers and customer support. It's distributed through partners like Genpact and Uniphore. It is also available on the Genesys Marketplace.
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callER logo

Contact Center Emotion AI

callER extracts information directly from the audio signal by analyzing both the customer’s and agent’s emotional states using Oliver's advanced patented signal processing.

Contact Center Emotion AI

callER measures: Emotion: neutral, happy, frustrated, angry, sad; Positivity: negative → neutral → positive; Strength: calm → normal → excited
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Robotics

Quentin Furhatino, built using a Furhat Robot, demonstrated his ability to capture and measure excitement, aggressiveness, confidence, vocal variety and several more factors in speech, that showed emotion and intent.

1st Robotic Movie Director

The demo, during Interspeech 2018, attracted over 230 visitors, who tried to imitate Al Pacino’s or Samuel Jackson’s acting tone from Scarface and Pulp Fiction respectively, aiming at a good score and high position on the overall score ladder.
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Monkey Island

Emotion-Aware Gameplay

An enhanced version of the original game powered by OliverAPI. It incorporates Speech Emotion Recognition in game insults & provocations. Players feel more emerged, capable to change the flow of the game.

Emotion-Aware Gameplay

A web adapted version of the game attracted the creator of the original version, Ron Gilbert, to say "An emotion enhanced version would convince me to remake it!"
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emosubs

Emotionally Rich Subtitles

emosubs is here to add a rich level of missing information that can make viewing of a video or film, fun and engaging. It captures the emotions from the audio and presents them, within the subtitles.

Emotionally Rich Subtitles

Know when an actor is speaking loud or slow, when she is angry, sad or happy and the intensity of their feelings. Experience a completely new way of watching TV, movies and videos.
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temi

AI in Healthcare

Temi robot was programmed to understand a patient's emotional status. It interacted through speech, understood and analyzed how the patient felt and responded accordingly showing emotional intelligence.

AI in Healthcare

Delivering emotional intelligence to any speech-enabled application, smart device or robot with the Oliver API.
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Voice-forward Matchmaking

This is a story about human connection told through a voice-forward matchmaking experiment. The twist: no names, no direct contact, no pictures. By Heather Li.

Voice-forward Matchmaking

IT’S NICE TO HEAR YOU is an independently produced genre-bending 6-episode podcast about this real-life experiment that took place in 2020. Winner of the 2021 Third Coast/Richard H. Driehaus Foundation Competition Best New Artist Award
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USC SAIL logo

Psychology - Therapy

Detecting Blame in Couples’ Therapy. Audio recordings of couples discussing contentious topics in marriage counseling sessions were used to automatically decipher if one spouse was blaming the other.

Psychology - Therapy

Directly from the audio (e.g., intonation, volume, and affect), the researchers could identify blaming behavior with 74% accuracy; intonation alone was able to reach 70% accuracy.
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Why Emotion AI?

Emotions influence every aspect of our lives — from the way we work and interact to the decisions we make. We all agree that human emotions are complicated, and arguably, the human voice might be the most personal and revealing “emotional designator”. Yet, in a digital world full of intelligent, voice-controlled, and hyper-connected devices, emotions often go unnoticed. Words alone don’t always tell the whole story. To truly understand we need to reach beyond the verbal. Oliver leverages huge amounts of voice-data and deep learning to build the best-of-breed emotion and behavior understanding API.

Where can you integrate Emotion AI?