Building trust in
voice AI

Pioneering ethical voice intelligence research at the intersection of
technology and humanity

Silicon Valley, California

Research areas

01

Voice Ethics & Governance

Establishing ethical frameworks for voice AI technologies, ensuring responsible development that respects human dignity and privacy.

02

Multi-Emotional Voice Recognition

Advanced recognition systems that understand emotional nuances in elderly speech, enabling empathetic AI companions for senior care.

03

AI Voice Synthesis Detection

Robust detection mechanisms to distinguish authentic human voices from AI-generated speech, protecting against voice fraud.

04

Trusted Voice Ecosystem

Building technical frameworks and compliance strategies for a trustworthy voice AI ecosystem balancing innovation with security.

05

Adversarial Audio Authentication

Cutting-edge models for identifying synthetic audio using adversarial techniques to ensure robust detection capabilities.

06

Emotional Context Recognition

Maintaining accurate voice identification across varying emotional states for reliable authentication in all conditions.

Our mission

Voice is the most human interface — it carries not just words, but emotions, intentions, and the essence of who we are.

We ensure that as voice AI becomes increasingly sophisticated, it remains trustworthy, ethical, and fundamentally human-centered.

World-class team

Bringing together brilliant minds

Our laboratory unites experts from Stanford, MIT, Carnegie Mellon, UC Berkeley, and other leading institutions.

Our diverse team includes specialists in machine learning, signal processing, computational linguistics, ethics, and human-computer interaction.

All united by a shared vision of creating voice AI that truly serves humanity.

Lynqor.ai
45+
Researchers
12
PhD Advisors
30+
Publications
8
Partners

Let's connect

research@lynqor.ai

Innovation Drive, Palo Alto, CA 94301