Research & Publications

Explore the scientific foundation behind Earkick's AI-powered mental health technology. Our research spans speech emotion recognition, vocal biomarkers, and AI-driven mental health assessment.

How Teens Use Earkick: A Case-Study of AI-Enabled Self-Help

A detailed case-study uncovering how teenagers actively use Earkick’s AI mental health app, highlighting real stories and practical impact on daily stress, emotional struggles, and overall well-being.

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Employee Mental Health in Workplace: Still Declining in 2025

A comprehensive study examining how employee mental health is still declining in 2025, despite the availability of AI chatbots, data-rich companies, engagement analytics, and AI-enhanced HR solutions.

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Ethical AI for Mental Health: Earkick's Perspective in 2025

An in-depth look at how Earkick’s ethical approach to mental health tools supports fair access, transparent use of data, and honest conversations about emotional challenges with a free online chat option for employees.

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Analysis of Emotion Annotation Strength Improves Generalization in Speech Emotion Recognition Models

A groundbreaking report on how better emotion labeling boosts the reliability of speech emotion systems, sharing key findings that help create better chat to talk to tools for future emotion research projects.

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