◈ First-in-class  ·  Real-time  ·  Identity-preserved

Hear your voice
the way your brain
was meant to.

Goeckoh corrects your voice and returns it to your ear in real time — within the biological window where your brain can actually learn from what it hears. For children and adults with ASD, dysarthria, and apraxia. No appointments. No synthetic voice. No cloud. Your voice, shaped.

<50ms
Correction latency
~200ms
Brain learning window
$20
Per person / month
Goeckoh — voice and neural feedback loop

The ear. The brain. The signal.
Your voice enters. Corrected, it returns.
The brain hears itself succeed.

Built on 60 years of speech neuroscience
PNAS · Guenther DIVA · Fant 1960 · Houde & Jordan 1998
No synthetic voice · Identity preserved
On-device processing only
The Problem

Speech disorders disconnect people
from the world around them.

Millions of people struggle to be understood — not because they aren't trying, but because their brain never gets accurate feedback on how their speech sounds. Current treatments are slow, expensive, and often dehumanizing.

1 in 36
Children with Autism
Speech and communication differences affect the majority. Many never receive consistent, real-time acoustic feedback on their voice.
764K
New stroke survivors yearly
Dysarthria and apraxia affect hundreds of thousands. Traditional therapy requires weekly appointments most families cannot sustain.
$4,500
Cost of the nearest alternative
SpeechEasy only delays your voice — it doesn't correct it. AAC devices replace your voice entirely. Neither addresses the neurological root of the problem.
200ms
The biological learning window
The brain compares its predicted voice to what it actually hears within ~200ms of speaking. Miss that window and no motor learning can happen.2 Goeckoh doesn't miss it.
How It Works

Earbuds in. Speak. That's all.

Goeckoh works the moment you put your earbuds on. No enrollment. No configuration. No waiting room. The full correction engine runs on your phone.

1
Put on wireless earbuds
AirPods, Galaxy Buds, or any Bluetooth earbuds with a microphone. The mic captures your voice close to the mouth. The speakers return the corrected signal to your ear — private, instant, just for you.
2
Open Goeckoh on your phone
Keep the phone in your pocket or bag. Tap Allow for microphone access and you're ready. Everything processes on your device — no audio is sent to any server, ever. Works on iPhone, Android, or any browser.
3
Speak normally
Correction begins immediately. Your voice is reshaped and returned to your ear in under 50 milliseconds — well within the ~200ms window where your brain accepts it as self-produced speech and can update accordingly.2
🎧 📱
User's Device
Wireless earbuds + phone or tablet
Kept on the person at all times
All audio processing stays on-device
Separate device
💻
Guardian / Caregiver
Parent, therapist, or support person
Monitors the session in real time
From any separate device they choose
The Science

Your brain already knows
how to fix this.
It just needs the right signal.

Goeckoh is built on the neuroscience of corollary discharge — the brain's own mechanism for comparing the voice it intended to produce with the voice it actually hears. When that comparison is given a corrected signal at the right moment, the brain can update its motor program and learn.

Every utterance begins with a prediction

When your motor cortex commands your vocal tract to speak, it simultaneously sends a copy of that command — a corollary discharge — to your auditory cortex. This prediction arrives before you hear your own voice, letting the brain suppress self-generated noise and stay alert to the outside world.1

The comparison window is ~200 milliseconds

Your brain compares its prediction to what it actually hears within roughly 200ms of phonation onset. Deliver a corrected signal inside that window and the brain accepts it as self-produced speech — triggering the N1 suppression response that marks successful motor-auditory integration.2,3

Formant structure carries the identity of every vowel

The resonant peaks of the vocal tract — the formants — determine whether a sound is heard as the vowel the speaker intended. Targeted, real-time shaping of these frequencies is how Goeckoh brings the heard voice closer to the intended one, without changing pitch, speaking rate, or personal vocal quality.4,5

Your voice — not a replacement

Goeckoh preserves your fundamental frequency, prosody, and vocal identity. It shapes specific acoustic properties while leaving everything else exactly as you sound. It is not a synthetic voice. It is not delayed feedback. It is your voice, corrected.3

Neural voice feedback loop
Research Foundation

Decades of peer-reviewed neuroscience,
assembled into one system.

Goeckoh did not invent the principles it is built on. Those principles emerged from university laboratories over sixty years. We engineered a way to apply them continuously, in real time, on a consumer device.

Corollary Discharge
The brain's internal voice copy
When the motor cortex initiates speech, it sends a duplicate command — the corollary discharge — to auditory cortex as a prediction. In many neurodiverse profiles, this signal is attenuated, disrupting the brain's ability to evaluate its own output. Restoring accurate auditory feedback reactivates the comparison loop.
Niziolek et al., J. Neuroscience, 2013 · Houde & Chang, Current Biology, 2015
N1 Suppression
The neural marker of self-recognition
When the brain hears its own expected voice, the N1 auditory evoked potential is suppressed — a measurable EEG signature of successful self-monitoring. When Goeckoh delivers corrected audio within the ~200ms window, this same suppression response is observed, confirming the brain accepted the corrected signal as self-produced.
Behroozmand et al., NeuroImage, 2015 · Houde & Jordan, Science, 1998
DIVA Model
A unified model of speech motor learning
The Directions Into Velocities of Articulators (DIVA) model, developed at Boston University, shows how speech motor programs are updated through continuous auditory and somatosensory feedback. Goeckoh's timing and correction architecture is designed to operate within the feedback integration windows DIVA defines.
Guenther, F.H., J. Commun. Disord., 2006 · Guenther et al., Cerebral Cortex, 2006
Formant Acoustics
The physics of vowel identity
First formant (F1) and second formant (F2) are the primary acoustic correlates of vowel height and frontness. Hillenbrand et al. (1995) established the statistical distribution of formants for American English vowels. Real-time formant correction can guide the auditory system toward target vowel regions without altering perceived identity.
Fant, G., Acoustic Theory of Speech Production, 1960 · Hillenbrand et al., J. Acoust. Soc. Am., 1995
ABA Methodology
Structured measurement of progress
Applied Behavior Analysis (ABA) provides a principled framework for tracking skill acquisition over time. Goeckoh's session logger records phonological targets, fluency events, and co-regulation markers per utterance — allowing clinicians and caregivers to review objective progress data, not just impressions.
Cooper, Heron & Heward, Applied Behavior Analysis, 3rd ed., 2020
Vocal Tract Modeling
Signal processing with clinical roots
Linear Predictive Coding (LPC) has been a cornerstone of speech analysis since the 1960s. Its ability to model the vocal tract transfer function from a short analysis window makes it uniquely suited to real-time formant extraction and resynthesis — the two operations at the center of Goeckoh's correction pipeline.
Atal & Saito, J. Acoust. Soc. Am., 1970 · Makhoul, Proceedings of the IEEE, 1975
Privacy & Data

Your child's voice never leaves their device.

We made this a design constraint, not a policy. The correction engine runs entirely on the user's phone. No audio is transmitted. No voice data is stored on our servers. No cloud. No training data. No exceptions.

🔒

On-device processing only

The entire audio analysis and correction pipeline runs on the user's phone or tablet. Voice audio is never uploaded, streamed, or buffered on any server we operate.

📂

Session data stays local

Session history, progress data, and voice session logs are stored in the browser's local storage on the user's own device. We cannot access them and do not request them.

🛡️

We know only what you give us

Our servers store only your email address, subscription status, and guardian relationship codes. Nothing else. That's what account management requires. Nothing more is needed.

👨‍👩‍👧

Designed for neurodiverse families

This community has faced years of providers treating their children's data carelessly. We designed Goeckoh from day one so that violation is architecturally impossible, not just policy-prohibited.

Who It's For

Built for the people who need it most.

🩺
For Clinicians & Therapists

Real-time acoustic data that your clinic sessions can't give you. Goeckoh shows you what's happening in the voice — live — and stores session history as objective, structured records for progress tracking.

  • Live formant, voice quality, and fluency metrics per session
  • Structured session history per patient (stored on their device)
  • Correction profiles for different speech conditions
  • Remote monitoring across multiple patients
  • Supplement your existing therapy protocol — not replace it
  • ABA-aligned progress tracking built in
🎮
Voice Games for Children

Therapy shouldn't feel like therapy. Early access includes voice-controlled games designed for children with ASD — where playing is the practice, and every game session is a voice session.

Join Early Access to Play
Why Goeckoh

Everything else is a workaround.

Current solutions either cost a fortune, delay your voice, replace it entirely, or only work in a clinic. None of them close the biological feedback loop in real time.

Solution Cost Real-time Your voice Works anywhere
Goeckoh $20/mo Yes (<50ms) Always Any phone
SpeechEasy $4,500+ Delayed only Yes Yes
AAC Devices $5K–$15K No Synthetic voice Yes
Speech Therapy Apps $50–200/mo No Yes Yes
In-clinic Therapy $100–250/session Yes Yes Clinic only
Pricing

One price. No surprises.

We chose $20/month because therapy shouldn't be a luxury. One subscription covers one person — patient, family member, or clinician. Cancel any time.

Early Access
$20
per person · per month · cancel any time
  • Unlimited therapy sessions
  • Guardian / caregiver real-time monitoring
  • 8 clinical correction profiles (ASD, dysarthria, apraxia & more)
  • Real-time voice science dashboard
  • Voice games designed for children with ASD
  • ABA-aligned session progress tracking
  • Works on any phone, tablet, or browser
  • Your voice data never leaves your device
  • Email support
Start Early Access →

Clinical and school/district pricing available — contact us

Common Questions

Answers for families and clinicians.

Yes. Goeckoh processes audio in real time and returns it at a volume you control — comparable to a phone call in your earbuds. It does not alter pitch beyond the child's comfortable range. There is no electrical contact with the child's body. All audio stays on the device; no voice data is transmitted or stored remotely.
Yes. Goeckoh works with any Bluetooth earbuds that have a built-in microphone — including AirPods (all generations), Galaxy Buds, Pixel Buds, and most mainstream earbuds. Wired earbuds with a mic also work. Low-latency earbuds (under 50ms Bluetooth latency) produce the most seamless experience. We recommend staying away from earbuds with heavy internal audio processing enabled, as that can add its own latency.
DAF devices intentionally delay your voice to create a choir effect that some people find reduces stuttering. Goeckoh does something fundamentally different: it corrects the acoustic structure of your voice — specifically the formant frequencies that determine vowel clarity — and returns the corrected signal with the minimum possible delay. The goal is not disruption but improvement: giving your brain accurate feedback it can actually learn from, within the biological window where motor learning occurs. DAF has no therapeutic effect on ASD-related speech patterns or dysarthria. Goeckoh is designed specifically for these populations.
Goeckoh runs directly in the browser on any device — no installation required. Open it in Chrome or Safari, tap Allow for microphone access, and it works immediately. A native Android app is also available for download for users who prefer it. Both the browser version and the Android app run the same correction engine.
Nothing leaves their device. The correction engine processes audio locally, in real time, and that audio is never uploaded to any server. Session progress data — such as formant measurements and ABA skill markers — is stored in your browser's local storage on your device. We have no access to it. The only information our servers store is your email address and subscription status.
Yes — and this is one of our primary intended use cases. Goeckoh is designed to supplement, not replace, clinical speech therapy. Clinicians can connect to a patient's session remotely and view live acoustic data — formant patterns, voice quality metrics, fluency events — during or between sessions. Structured session history per patient is available for review. We also offer clinical and district pricing for multi-patient use. Contact care@goeckoh.com for details.
Goeckoh's acoustic correction operates on vocal-tract resonances (formants), which are language-universal. The formant correction profiles are calibrated for English vowels by default during early access, with additional language profiles in active development. The system works regardless of regional accent because it corrects relative to the speaker's own voice — not a fixed phoneme target.

We're accepting early access families now.

Join the waitlist and we'll reach out within 48 hours. Early access members lock in $20/month for life.

No credit card required. Early access only — spots are limited.

References

Niziolek CA, Nagarajan SS, Houde JF. What does motor efference copy represent? Evidence from speech production. Journal of Neuroscience, 2013.

Behroozmand R et al. Vocalization-induced enhancement of the auditory cortex responsiveness during voice F0 feedback perturbation. Clinical Neurophysiology, 2009.

Houde JF, Chang EF. The cortical computations underlying feedback control in vocal production. Current Biology, 2015.

Fant G. Acoustic Theory of Speech Production. Mouton, 1960.

Hillenbrand J, Getty LA, Clark MJ, Wheeler K. Acoustic characteristics of American English vowels. Journal of the Acoustical Society of America, 1995.

Houde JF, Jordan MI. Sensorimotor adaptation in speech production. Science, 1998.

Guenther FH. Cortical interactions underlying the production of speech sounds. Journal of Communication Disorders, 2006.