AI ディレクトリ : AI Analytics Assistant
What is audEERING?
audEERING is a leading innovator in the development of Voice AI technology. Innovative deep learning detects emotions and health information from the voice.
How to use audEERING?
To use audEERING, simply integrate our audio analysis technology into your software or hardware. It can perform real-time emotion and scene recognition from voice inputs.
audEERING's Core Features
Emotion and Scene Detection
Health AI Platform
Integration into XR projects
audEERING's Use Cases
Audio analysis in software or hardware
Research on voice, health, and AI
COVID-19 voice-based test
audEERING Support Email & Customer service contact & Refund contact etc.
Here is the audEERING support email for customer service: [email protected] . More Contact, visit the contact us page(https://www.audeering.com/contact/)
audEERING Company
audEERING Company name: audEERING® GmbH .
More about audEERING, Please visit the about us page(https://www.audeering.com/voice-ai-company-profile/).
audEERING Youtube
audEERING Youtube Link: https://www.youtube.com/channel/UCOoWXPxSVksEev4pUSAOYFQ
audEERING Linkedin
audEERING Linkedin Link: https://de.linkedin.com/company/audeering-gmbh
audEERING Instagram
audEERING Instagram Link: https://www.instagram.com/audeering/
audEERING Github
audEERING Github Link: https://github.com/audeering
FAQ from audEERING
What is audEERING?
audEERING is a leading innovator in the development of Voice AI technology. Innovative deep learning detects emotions and health information from the voice.
How to use audEERING?
To use audEERING, simply integrate our audio analysis technology into your software or hardware. It can perform real-time emotion and scene recognition from voice inputs.
How does audEERING work?
audEERING uses advanced deep learning techniques to analyze voice inputs and extract emotions and health information. Our algorithms have been trained on large datasets and can perform real-time analysis.
What are the applications of audEERING's technology?
audEERING's technology can be used in various applications, including emotion recognition, scene detection, health analysis, and integration into XR projects.