Đúng Chưa? is Vietnamese tone practice without fake feedback — not a vocabulary app or ASR transcription tool. Built for learners who know the word but still get misunderstood when speaking.
The Problem
Why standard language apps fail for Vietnamese speaking production.
Most language tools treat pronunciation as an afterthought, using standard translation chatbot scripts or generic, game-like score indicators that say "Try Again" without telling you why.
The Conflict
"They switch to English"
You speak clearly, pronouncing every vowel correctly. Yet the coffee server or taxi driver pauses, looks confused, and switches immediately to English. The culprit is frequently a flat or incorrect tone contour shape.
Vietnamese tones are not just static accent marks on a flashcard. They are pitch movements over time. If your pitch fails to rise, break, or drop with the correct timing and shape, the word can land differently.
The Correction
Signal-based correction cue
Generic pronunciation scoring apps give you a "75%" rating and leave you guessing. Đúng Chưa? isolates the signal trace, evaluates the pitch shape, and gives one retry cue: "Lift the end of the syllable — avoid dropping pitch early."
How it works
The Tone Calibration Loop
Not a chatbot conversation loop — hear → record → recording check → one correction → retry, one phrase at a time. Practice alone, no audience.
Step 1: Sound
Hear Reference Target
Listen to a verified reference audio target. No synthesized Text-to-Speech voices; you practice against human pitch baselines.
Step 2: Trace
Record Voice
Record your voice pronouncing the practical phrase. The app processes the signal, extracting the pitch contour frequency in real-time.
Step 3: Shape
See The Contour
See your voice trace overlaid directly on the reference contour. Immediately isolate where your pitch flattened, broke, or failed to rise.
Step 4: Fix
Receive One Correction
Get a single, clear cue translated from the signal error. Zero information overload. One correction, one retry.
Strategic positioning
Not ASR, not a chatbot tutor, not a vocabulary course.
Speech recognition can transcribe words while missing tone shape. Đúng Chưa? is a tone practice lab that stays honest when audio is not scoreable.
Feature Category
Vocabulary Apps (Duolingo)
AI Speaking Tutors (Chatbots)
Đúng Chưa? Calibration App
Primary Purpose
Vocabulary drills & grammar charts
Simulated roleplay conversations
Focused tone contour practice
Speech Input
Lexical sentence repeating
Free-form conversational responses
Pitch shape audio calibration
Accuracy Feedback
Basic pass/fail speech indicators
Sentence syntax check summaries
Real-time signal contour overlays
Correction Guidance
None; displays correct spelling
Text grammar corrections
One specific correction cue
Dialect Control
Mixed spelling / broad exposure
Synthesized AI dialects
Standardized Northern reference targets
Early Access
Be first to test the pronunciation calibration loop.
We are building and validating Đúng Chưa? alongside early testers. Join the pre-launch waitlist to receive updates when testing spots open.
Voice recording is strictly used to evaluate spoken pitch shapes. Early waitlist iterations will store voice samples for telemetry, algorithm debugging, and reference baseline calibration only with clear consent.
You're on the list!
We'll reach out when early testing opens. Want to help us shape the initial practice deck? Tell us a bit about your struggles:
FAQ
Common Questions
What makes this different from regular language apps?
Standard language apps focus heavily on vocabulary recall and grammatical syntax. Đúng Chưa? is built solely for voice pitch calibration. It shows your tone shape against reference traces and gives clear correction cues rather than spelling grids.
Is this an AI speaking tutor?
No. We do not use large conversational language models to judge your speaking attempt. The pass/fail scoring is entirely deterministic and calculated from voice signal processing. AI is only used as a translator to convert pitch errors into plain coaching instructions.
Which Vietnamese dialects are supported?
Our initial deck is built upon strict Northern dialect pronunciation targets. We prioritize calibration quality, so baselines for Central and Southern dialects are being tested carefully and will be introduced as soon as they meet our accuracy standards.