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Audeering

(4.5)

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AIChief Verdict
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AIChief Rating

(4.5)

Visit Audeering

Audeering is a cutting-edge AI company focused on voice and audio intelligence, offering software and SDKs that analyze human emotions, mental states, and acoustic environments in real time. Using advanced deep learning and signal processing, Audeering can detect mood, stress levels, age, gender, and more based on speech. Its flagship technologies, such as openSMILE and devAIce, are used across health, automotive, robotics, and gaming to build more empathetic and adaptive machines. The platform supports real-time integration into apps, hardware, and enterprise workflows, making AI feel more human and context-aware.

Features

(4.5)

Accessibility

(4.5)

Compatibility

(4.5)

User Friendliness

(4.6)

Updated October 8, 2025

Audeering is a cutting-edge AI company focused on voice and audio intelligence, offering software and SDKs that analyze human emotions, mental states, and acoustic environments in real time. Using advanced deep learning and signal processing, Audeering can detect mood, stress levels, age, gender, and more based on speech. Its flagship technologies, such as openSMILE and devAIce, are used across health, automotive, robotics, and gaming to build more empathetic and adaptive machines. The platform supports real-time integration into apps, hardware, and enterprise workflows, making AI feel more human and context-aware.

Audeering Review Summary
Performance Score
A+
Content/Output Quality
Emotion-Aware, Real-Time Audio Analysis
Interface
Developer-Focused APIs & SDKs
AI Technology
  • Emotion AI
  • Audio Signal Processing
  • Deep Learning Models
Purpose of Tool
Analyze voice and audio data for emotional and contextual intelligence
Compatibility
SDKs, APIs; Compatible with mobile, embedded, and enterprise systems
Pricing
Custom pricing based on product, usage, and deployment scale

Who is Best for Using Audeering?

  • Healthcare innovators: Detect neurological or psychological conditions through voice biomarkers.
  • Automotive engineers: Add mood-aware features to in-vehicle assistants.
  • Voice assistant developers: Make AI agents more emotionally intelligent.
  • Game studios & XR teams: Build immersive, reactive voice-based experiences.
  • Academic researchers: Study emotion recognition, mental health, or cognitive load.
Audeering Key Features
Voice Emotion Recognition
Real-Time Mood & Stress Detection
Age, Gender, and Energy Estimation
Acoustic Scene Analysis
Health AI for Voice Biomarkers
openSMILE Audio Toolkit
devAIce SDK for Mobile & Embedded
Cloud + On-Device Processing

Is Audeering Free?

Audeering does not offer a free plan, but researchers and enterprise clients can request custom quotes and trials depending on their use case. Tools like openSMILE are open-source, while commercial SDKs like devAIce follow a licensing model.

Pricing Plans

  • Free Plan: openSMILE is available as open-source, while devAIce is priced according to a licensing model.
  • Custom Pricing: Available for enterprise clients with custom solutions and support.

Audeering Pros & Cons

Pros
Scientific, medically-backed voice emotion recognition
Real-time and on-device processing available
Versatile use across healthcare, automotive, and robotics
Trusted by industry and academic institutions
Highly customizable SDKs for developers
Cons
No public pricing or instant self-serve access
Requires technical expertise for integration
Primarily geared toward enterprise, research, and OEMs
Emotion accuracy may vary in noisy environments
Limited UI for non-technical users

FAQs

What is openSMILE used for?

openSMILE is Audeering’s open-source audio analysis toolkit, widely used in academia and research for speech emotion and audio pattern detection.

Can Audeering detect mental health conditions?

Yes, it can identify vocal biomarkers linked to stress, depression, and neurological states—used in clinical research and early screening tools.

Does Audeering work offline?

Yes, the devAIce SDK enables on-device, offline audio analysis—perfect for mobile apps, wearables, and edge computing.

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