AI solutions are now used to analyze voices in real-time for various applications like customer service and healthcare. These AI systems are aimed at extracting signals from voices to understand a person's mental and physical well-being. For instance, software from Cogeeto can analyze tones in a caller's voice to improve customer service interactions.

Introduction

2min

Machines We Trust: The Automation of Everything

3min

The Pandemic: How to Escape Expectations

2min

How to Navigate Anxiety and Depression

2min

The Future of Mental Health

2min

The Importance of Technology in Mental Health Services

2min

The Role of Voice in Mental Health

2min

Machine Learning for Depression and Anxiety

2min

Sond Health's Health Monitoring Products Look for All Kinds of Things

2min

10.

The Future of Voice

2min

11.

The Ethics of Vocal Biomarkers

2min

12.

How to Detect Mild Cognitive Impairment

2min

13.

Predicting Cognitive Impairment With Speech Signal

3min

14.

The Importance of Understanding Depression

2min

15.

The Role of Vocal Biomarkers in Healthcare

2min

16.

The Future of Voice Communication

2min

17.

The Future of Vocal Biomarkers

3min

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare.

We meet:

Lina Lakoczky-Torres, student at Menlo College

Angela Schmiede, Vice President of Menlo College.

Grace Chang, CEO of Kintsugi

David Liu, CEO of Sonde Health

Liam Kaufman, former CEO of Winterlight Labs.

Margaret Mitchell, Chief Ethics Scientist of Hugging Face

Bjoern Schuller, professor of artificial intelligence at Imperial College London

Credits:

This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting.

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MIT Technology Review Narrated

In Machines We Trust: When AI hears a problem

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Quick takeaways

Deep dives

AI Analysis of Voice for Mental and Physical Health

Benefits and Privacy Concerns of Voice Analysis Tools

Ethical and Practical Challenges of Vocal Biomarkers

Remember Everything You Learn from Podcasts