ChivoxAI
Child-tuned English assessment

Speech assessment for young voices.

Turn phonics, read-aloud, stories, role-play and games into encouraging practice with an English engine calibrated on young learners—not adult speech patterns.

Explore learner experiences
Dedicated child engineEarly years-to-primary calibrationPhoneme & word diagnostics
Young learner speaking into a headset while a parent reviews progress in a bright home learning space
Designed for

English-learning apps, AI lessons, picture-book reading, educational games and family learning devices

Young voices
dedicated speech models and scoring behavior
Sound → story
phonics, words, reading, role-play and dialogue
One next step
the most useful response, not every correction

/three ways to bring speaking to life

Turn every speaking moment into visible progress.

The same child-tuned evidence can power very different experiences. Keep the activity playful for the learner while your product receives structured signals underneath.

Young learner reading a picture book aloud while a tablet listens01

Picture-book read-aloud

Child experience
A story that reacts, encourages and moves forward.
Product signal
Word-level accuracy, completeness, fluency and useful retry cues.
Two young learners practising a guided English dialogue with a tablet02

Role-play & guided dialogue

Child experience
A turn-taking conversation built around pictures and roles.
Product signal
Response match, pronunciation evidence and dialogue progression.
Young learner celebrating progress in a tablet speaking game03

Speaking game challenge

Child experience
One clear goal, a friendly retry and a rewarding next level.
Product signal
Quality checks, a focused practice priority and progress signals.

See the assessment engine, without the agent layer.

Choose the product SDK experience or the MCP agent walkthrough based on how you plan to integrate.

/built for young voices

A child-tuned engine—not relaxed adult scoring.

Children are not simply quieter adults. Their pitch, articulation and timing differ as speech develops. Chivox uses young-learner speech data and teaching-aligned parameters so the evidence better reflects how children actually speak.

Built for these activities
  • Phonics
  • Word practice
  • Sentence read-aloud
  • Picture-book reading
  • Imitation
  • Role-play & dubbing
  • Guided dialogue
  • Story retelling
  1. 01

    Dedicated young-learner models

    Account for higher pitch, longer pauses, developing articulation and common repetitions or omissions as child-speech patterns—not automatic failure signals.

  2. 02

    Age-appropriate scoring behavior

    Calibrate scoring for early-years and primary learners so results sit closer to age-appropriate teaching expectations.

  3. 03

    Diagnostics your product can act on

    Use phoneme and word evidence, accuracy, fluency, completeness, stress, intonation, pauses, insertions, omissions and repetitions according to the activity.

/from evidence to encouragement

Treat the score as evidence—not a verdict on the child.

Translate rich assessment evidence into the right next move: celebrate, model one sound, invite a retry or continue the activity.

Why adult calibration falls short

Young voices are higher in pitch, less consistent in articulation and often pause longer between words. Adult calibration can mistake normal developmental patterns for poor performance.

What child-tuned assessment changes

Evidence that fits young voices, feedback that protects confidence and deeper progress detail for teachers and parents.

/one experience, three views

Keep children motivated. Give adults the detail.

01

Child

Needs: A response that feels immediate, encouraging and easy to act on.

One clear cue, retry or reward—without a wall of scores.

02

Parent or teacher

Needs: Evidence they can trust without reviewing every recording.

Progress trends, examples and a practical next focus for support.

03

Product team

Needs: Stable diagnostics plus control over thresholds, wording and rewards.

A differentiated learner experience built on child-tuned evidence.

/a child-friendly feedback loop

Check the attempt, choose one cue, keep the activity moving.

The engine can return rich detail. Your product decides how much each audience should see and what happens next.

  1. 01

    Choose the speaking moment

    Ask for a sound, word, story line or conversational answer that fits the child’s age, level and attention.

  2. 02

    Validate the attempt

    Check clipping, background speech, missing audio and incomplete responses before presenting any pronunciation feedback.

  3. 03

    Interpret child-tuned evidence

    Use the task-appropriate phoneme, word, fluency and completeness signals to identify the highest-value next step.

  4. 04

    Respond without breaking the flow

    Celebrate, model one sound, invite a friendly retry or continue the story—while saving richer evidence for the adult view.

/ready for product design

Calibrate by age, activity and feedback moment.

The same evidence should not trigger the same response in a phonics drill, a story or a game.

Decision 01

Age and level calibration

Set thresholds, feedback language and retry length for the intended learner stage and proficiency.

Decision 02

Activity-specific policy

Map the evidence differently for phonics, reading, role-play, dialogue and open speaking.

Decision 03

Two-layer reporting

Keep the child view simple and encouraging while giving adults appropriate detail, controls and privacy choices.

Responsible boundary

Never present a low or uncertain score as a judgment about a child. Use neutral recording retries, age-appropriate language and adult review where the evidence needs context.

Signals worth tracking
  • More completed speaking turns and willing retries
  • Fewer false corrections caused by child-speech patterns or poor audio
  • Clearer adult understanding of progress and the next practice focus