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What is audeering?

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.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

High, accurate, and nuanced

Interface

Developer-focused with clear documentation

AI Technology
Deep LearningSpeech RecognitionEmotion RecognitionAcoustic Scene Classification
Purpose of Tool

To extract emotional and contextual insights from audio data using AI.

Compatibility

Integrates via REST API, Python SDK, and cloud platforms like AWS and Azure.

Pricing

Freemium with usage-based paid tiers

Features

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

How It Works

1

Upload or stream audio

Provide audio files via API or real-time streaming from a microphone or other source.

2

Select analysis modules

Choose from emotion recognition, speaker diarization, acoustic scene classification, or sound event detection.

3

Process with AI models

The platform applies deep learning models to extract features and generate predictions.

4

Receive structured results

Get JSON output with timestamps, confidence scores, and labels for each detected event or emotion.

Who Is It For?

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

Pricing

Free

$0/monthly
  • Up to 100 API calls/month
  • Basic emotion detection
  • Community support

Starter

$99/monthly
  • Up to 10,000 API calls/month
  • Full emotion and scene analysis
  • Email support
Popular

Professional

$499/monthly
  • Up to 100,000 API calls/month
  • Custom model fine-tuning
  • Priority support

Enterprise

Custom/monthly
  • Unlimited API calls
  • On-premise deployment
  • Dedicated account manager

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Pros & Cons

Pros

  • High accuracy in noisy environments.
  • Flexible deployment options including on-premise.

Cons

  • Pricing not publicly disclosed.
  • Limited documentation for advanced customization.

FAQs

Just Launched

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Rating

5.0

Pros

Cons

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Analytics of Automotive - audEERING

Website traffic and keyword analysis.

Live dataFeb 2026 – Apr 2026

Monthly visits

11.69K

-6.2% vs prior month

Avg. visit duration

00:00:49

M 4 2026 snapshot

Pages / visit

2.25

M 4 2026 snapshot

Bounce rate

39.76%

Lower is better

All traffic · Worldwide

Weekly estimate · Feb 1, 2026 – Apr 29, 2026

2.03K2.15K2.26K2.38K2.49KFeb 1Feb 15Mar 1Mar 15Mar 29Apr 8Apr 22Apr 29

Peak week: 2.49K (Mar 1, 2026)Low week: 2.03K (Feb 1, 2026)WoW: 0.0%Derived from monthly estimates · SimilarWeb-equivalent

Release History

0 releases published

No releases yet.

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