Learning that fits the life you already have.

EarBabel is an AI-powered, multilingual educational audio platform that turns course content into structured lessons you can learn entirely by ear — no screen required.

▶ Watch the 3-minute overview In development · alcademia LLC
The problem

The only study time many learners have is time they can't look at a screen.

Today's learners are increasingly non-traditional — working adults, commuters, English Language Learners, and caregivers. Their available study time happens on a bus, on a hospital shift, or between school pickups: exactly when a laptop or a video lecture is out of reach. They aren't unmotivated; the delivery system was built for someone else.

Screen-dependent tools

Learning management systems, video lectures, and AI tutors all assume a screen and uninterrupted attention.

Audio alternatives fall short

Podcasts aren't built to teach, audiobooks narrate text written for the eye, and text-to-speech adds cognitive load.

No comprehension monitoring

None of today's audio formats check whether the learner actually understood.

How it works

Five parts, one hands-free experience.

1

Restructure

Rewrites instructor materials for the ear, in short attention-sized segments.

2

Native-language audio

Neural text-to-speech delivers content in the learner's own language.

3

Spoken checks

Comprehension questions the learner answers out loud.

4

Adaptive replay

Re-explains a concept on the spot when a learner struggles.

5

Instructor dashboard

Cohort-level comprehension and engagement insights.

Any browserWorks offlineNo app-store download
Built for real lives

Maria's commute becomes a lecture.

Maria is a nursing assistant studying pharmacology. Her study time is a 40-minute commute. She opens EarBabel, selects Spanish, and presses play. Ten minutes in, it asks a question. She answers out loud, hears the confirmation through her earbuds, and never touches the screen.

"¿Qué clase de fármaco está contraindicada para un paciente con enfermedad renal?"

Maria: "be." 🎧 Correct — and she never looked at her phone.
Research-grounded

A prototype and pilot, grounded in the science of listening.

EarBabel's segment length and comprehension cadence draw on decades of research in auditory attention, listening effort, and retrieval practice. The first pilot will run with non-traditional learners at the University of New Mexico.

20–30
pilot learners
3–5
instructors
EN · ES
launch languages
Team

Built by researchers and engineers in hearing and learning science.

Adrian KC Lee, Sc.D.

Founder & Principal Investigator

Professor of Speech & Hearing Sciences, University of Washington. Two decades of research on auditory attention and listening effort; Fellow, Acoustical Society of America.

Eric Larson, Ph.D.

Technical Developer

Principal Research Scientist, University of Washington. Leading contributor and maintainer of the open-source MNE-Python and SciPy scientific-computing projects.

Erin Ingvalson, Ph.D.

Research Consultant

Faculty in Speech & Hearing Sciences, University of Washington. IES-funded researcher in educational intervention design and evaluation.

Kevin Mihata, Ph.D.

Contractor Security Liaison

Associate Dean for Undergraduate Education, UW College of Arts & Sciences. 25+ years in university administration and compliance.