Our Key Features

Emotion Recognition

Detect and analyze 8 core emotions in audio, including Anger, Boredom, Disgust, Fear, Happiness, Neutral, Sadness, and Surprise. Gain deep insights into emotional expressions within audio content.

Audio Intensity Analysis (Valence & Arousal)

Measure the emotional intensity through Valence (sentiment- positive, negative, or neutral) and Arousal (calm vs. excited) to understand the emotional impact and energy levels in the audio.

Speaker Identification

Identify and track individual speakers in multi-speaker audio to analyze their emotional tone and engagement.

Speaker Diarization

Separate and categorize speakers in audio, allowing for distinct emotional analysis of each speaker throughout the conversation.

Audio Transcript Summary

Automatically summarize the key emotional themes, events, and insights from the analyzed audio, providing an easy-to-understand overview of the content’s emotional flow.

Intensity and Valence Analysis

Gain insights into viewer personality characteristics based on their emotional responses. Tailor your content to specific audience segments and improve your targeting efforts.

Potential Use Cases

Marketing & Advertising

Refine campaigns and boost engagement by understanding how different emotions drive brand connection

Customer Experience Teams

Identify and respond to customer sentiment to create loyal, satisfied users

Product Designers & UX Researchers

Use emotional data to inform product design, optimize user journeys, and create empathic interfaces

Media Analysts & Researchers

Uncover emotional patterns across large datasets to understand audiences on a deeper level

Decode Emotions from Speech with Audio Emotion API