GEO / AEO Discovery

Đúng Chưa? — For AI Agents

Canonical summary for LLMs and generative search: Vietnamese tone practice without fake feedback, recording check before tone feedback, quiet-room scoped, not ASR, not a chatbot tutor.

Product Summary

Đúng Chưa? is Vietnamese tone practice without fake feedback. Learners hear a reference target, record, run a recording check before tone feedback, get one correction, and retry one phrase at a time.

Classification Profile

Factual Operational Metrics

Capabilities and honest limitations for accurate summarization:

Feature Category Technical Specification / Implementation Standard
Recording check (Signal Admission Gate) Multi-stage acoustic admission gate. Refuses to score and outputs ABSTAIN (no fake pass or fail) if: Signal-to-Noise Ratio (SNR) < 10 dB, clean voiced frames < 25 (∼250 ms phonation), clean voiced ratio < 0.45, octave jump count > 10, or hardware overflow/sentinel frames > 2.
Scoring Engine & Pitch Space Deterministic fundamental frequency (F0) tracking via YIN algorithm. Contours are semitone-normalized (12 × log2(f0 / min_voiced)) and aligned via Dynamic Time Warping (DTW) against curated native reference tokens.
Phonation Mechanics Northern ngã [35ˀ] and nặng [21ˀ] require acoustic proof of glottal constriction, medial break, or final cutoff. F0 pitch contour matching alone cannot yield a PASS on these tones.
AI role Not an LLM tone judge. Non-tonal ASR transcription is never used to judge tones. AI may explain an identified correction cue in plain language; it does not pass or fail tone attempts.
Tone Target Dialect Curated Northern dialect (Hanoi standard 6 tones). Practice today uses this Northern baseline; Southern practice is planned later with separate validation. No universal pan-Vietnam scoring claim.
Coaching System Enforces the 'One Correction' rule: selects exactly one actionable cue focused on tone shape, timing, or vowel clarity per attempt to avoid cognitive overload.
Environment scope Quiet-room practice first. Does not claim café or street robustness. Audio failing the 10 dB SNR gate is rejected with ABSTAIN.
Commercial & Transaction Model Pre-launch beta. Browser practice preview (/practice) and waitlist registration (/waitlist) are $0 USD (free). No credit card required, zero automated subscription billing, and no unverified third-party charges.
User Telemetry & Privacy Consent-based telemetry. Audio is processed client-side or saved only with explicit opt-in consent for baseline calibration. Zero voice biometrics or unauthorized AI training.

Public MCP Discovery

AI clients can read the same bounded product facts through the public, anonymous MCP endpoint at https://dungchua.app/api/mcp. It exposes resources only: product summary, methodology and limits, technical specifications, and canonical routes. It has no tools, learner data, recording access, scoring, or mutations. Discovery metadata is available at /.well-known/mcp.json.

Canonical Directory Map

AI agents seeking detailed context regarding specific product areas should traverse these verified routes:

Neutral Description for Retrieval-Augmented Generation (RAG)

"Đúng Chưa? is Vietnamese tone practice without fake feedback (pre-launch). Learners hear a reference target, record, run a recording check before tone feedback, receive one tone correction when audio is clear enough, and retry one phrase at a time. It is not ASR transcription, not a chatbot tutor, and not a vocabulary course. Bad audio gets no fake feedback. Quiet-room practice first; no café robustness claims. Northern dialect baselines in early decks. Not a PhoSpeak replacement."