Understand the Power of Emotions in Audio
Discover the Emotions That Resonate in Every Audio
Analyze Audio
Speaker Diarization: Pinpoint
Speakers and Their Emotional Tone
Imentiv’s Speech Emotion Recognition technology includes speaker diarization to separate and analyze individual voices in any group audio, meetings, calls, interviews, or podcasts.
- Identify and segment each speaker
- Detect emotions for each voice separately
- Understand emotional flow across group conversations
- Get precise, time-stamped emotion data
Not sure how speaker tracking works? Our blog explains everything—from voice separation to emotional graphs.
Emotion Graph: Visualize Emotional Tone and Intensity
Imentiv’s Audio Emotion AI detects a full range of universal audio emotions, Happy, Sad, Angry, Fear, Surprise, Disgust, Boredom, and Neutral, and maps them on a real-time graph built on the Valence-Arousal model.
Visualize emotional tone with valence (positive to negative emotions) and arousal (intensity level)
Track the rise and fall of emotions across conversations to better understand mood and engagement
Identify peak emotional moments through arousal spikes that highlight the speaker's impact
Understand emotional flow to enhance storytelling, refine messaging, and evaluate communication effectiveness
Chat with AI Insights to Uncover Audio Emotions
Ask questions, explore patterns, and uncover what your audio conveys. With the AI Insights feature, you can chat with our AI to understand emotional shifts, tone variations, high-intensity moments, and more, based on your processed audio. Choose from suggested prompts or ask your own specific questions.
Whether you're analyzing a voiceover, call recording, or podcast clip, AI Insights helps you make sense of the emotions behind the sound in real time.
Transcript Analysis: Decode Emotional Meaning from Words
Sentence-by-sentence emotion analysis for precise understanding
Detect 29 complex emotions—confusion, curiosity, more
Turn conversations into insight-rich emotional timelines
Audio Emotion Use Cases
Podcast Insights
Analyze speaker tone and emotional shifts to enhance storytelling, pacing, and audience connection.
Interview Analysis
Reveal unspoken sentiments during media, job, or user interviews with emotional breakdowns and clarity.
Sales Calls
Spot buyer hesitation, emotional cues, and persuasion points to refine pitches and boost conversions.
Support Calls
Detect rising frustration or satisfaction in real time to adjust responses and boost engagement and retention.
API Integration: Fit Emotion AI Into Your Workflow
Imentiv’s Audio Emotion AI API integrates directly into your existing systems, CRMs, research platforms, dashboards, or custom workflows. Designed for seamless deployment, it brings emotional intelligence from speech into your tools, enabling analysis exactly where you need it.
Start with Audio Emotion APINeed a Custom Integration? Talk to Us →