How Our Technology Works

Transforming audio content into structured, real-time intelligence, delivering alerts, trend analyses and BI-ready datasets.

eMM audio processing is designed to help you identify what was said and who said it, fast and at scale. Processing audio data in eMM consists of four components: audio segmentation, speech recognition, speaker recognition and speaker clustering. 

Our proprietary technology enables us to validate research directly on live streams, improving quality and reliability in real conditions. 

Audio Segmentation

Clean audio segments are the foundation.

• Meaningful Context: We break continuous broadcast audio into meaningful sections to ensure accurate downstream analysis.
• Enhanced Precision: By isolating relevant audio, we reduce background noise and improve the precision of every subsequent recognition step.

Speech recognition

Speech-to-text you can actually work with.

• Searchable Content: Converts spoken content into text to power search, profiles, alerts, and analysis across a wide range of broadcasts.
• Efficient Discovery: Enables faster discovery of mentions and topics without the need for manual listening.

Speaker Recognition & Speaker Clustering

• Speaker recognition: Automatically identify known speakers where reference information is available, providing immediate attribution.
• Speaker clustering: Group speech by distinct voices to help organize content and attribute segments more reliably, even when a specific identity has not yet been established.
• Enhanced Analysis: Essential for interviews, talk formats, spokesperson tracking, and delivering cleaner, more accurate analytics.

Book a demo

Do you want to see audio processing in action?

Tell us your target markets, key channels and specific use cases, whether you are focused on monitoring, deep analytics, or spokesperson tracking. We will demonstrate how eMM audio processing engine can be tailored to support your unique workflow.

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Find more information about the other technologies used by eMM:

> Video Processing

> Real Time

> Semantic Analysis