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audEERING is an AI-powered audio analysis platform developed by audEERING GmbH, a spin-off from the Technical University of Munich. It solves the problem of extracting meaningful insights from audio data, such as speech, music, and environmental sounds. The core capabilities include emotion recognition, speaker diarization, acoustic scene classification, and sound event detection. It uses deep learning models trained on large datasets to deliver high accuracy. The platform is designed for researchers, developers, and enterprises who need to analyze audio at scale. It fits into workflows like call center analytics, media monitoring, healthcare diagnostics, and smart home applications. Users can access the technology via API, SDK, or cloud-based services. audEERING is known for its focus on paralinguistic and emotional cues in audio.
4.5/5
High, accurate, and nuanced
Developer-focused with clear documentation
To extract emotional and contextual insights from audio data using AI.
Integrates via REST API, Python SDK, and cloud platforms like AWS and Azure.
Freemium with usage-based paid tiers
Features with the highest value for users are highlighted here.
Real-time emotion recognition from voice
Speaker diarization and identification
Acoustic event detection (e.g., glass break, siren)
Multi-language support for speech analysis
On-premise deployment option
Pre-trained models for music analysis
Custom model training via API
Call center managers
Media monitoring teams
Healthcare researchers
Smart home developers
Automotive UX designers
Music streaming services
Academic researchers
Enterprise security teams
Voice assistant developers
Podcast producers
Free
Starter
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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