kingkw1/minicpm-phonetic-evaluator
Text Generation • 3B • Updated • 128 • 1
Kevin King
kingkw1
AI & ML interests
None yet
Recent Activity
repliedto their post about 10 hours ago
I built Read-Along AI for the Hugging Face Build Small Hackathon.
It is an offline-capable reading practice app for early readers: one short sentence at a time, tap-to-hear word help, record a read-aloud attempt, then get gentle feedback.
The goal is Backyard AI in the literal sense: a tool for real home reading practice, where feedback needs to be patient, developmentally fair, and private. A child’s voice should not need to leave the app just to practice “The dog ran fast.”
What makes it small-model native:
- Exact clean readings pass immediately.
- Close or ambiguous child-speech transcripts get a second look from a fine-tuned MiniCPM phonetic evaluator.
- Meaning-changing mistakes still fail closed, e.g. “blue hat” should not pass for “red hat.”
- Off the Grid Mode runs local ASR plus the MiniCPM GGUF evaluator through llama.cpp.
- Turbo Mode uses Modal endpoints for lower-latency ASR/TTS/evaluation.
- The UI is custom Gradio with a child-facing reading canvas, clickable words, progress feedback, and celebration on success.
Targeted tracks and badges:
Backyard AI, Off-Brand, Off the Grid, Llama Champion, Well-Tuned, Tiny Titan, Sharing is Caring, Field Notes.
Space:
https://huggingface.co/spaces/build-small-hackathon/read-along-ai
Demo video:
https://youtu.be/4bpbwhipLU4
Repo:
https://github.com/kingkw1/read-along-ai
Built with Codex as the lead development partner. repliedto their post about 11 hours ago
I built Read-Along AI for the Hugging Face Build Small Hackathon.
It is an offline-capable reading practice app for early readers: one short sentence at a time, tap-to-hear word help, record a read-aloud attempt, then get gentle feedback.
The goal is Backyard AI in the literal sense: a tool for real home reading practice, where feedback needs to be patient, developmentally fair, and private. A child’s voice should not need to leave the app just to practice “The dog ran fast.”
What makes it small-model native:
- Exact clean readings pass immediately.
- Close or ambiguous child-speech transcripts get a second look from a fine-tuned MiniCPM phonetic evaluator.
- Meaning-changing mistakes still fail closed, e.g. “blue hat” should not pass for “red hat.”
- Off the Grid Mode runs local ASR plus the MiniCPM GGUF evaluator through llama.cpp.
- Turbo Mode uses Modal endpoints for lower-latency ASR/TTS/evaluation.
- The UI is custom Gradio with a child-facing reading canvas, clickable words, progress feedback, and celebration on success.
Targeted tracks and badges:
Backyard AI, Off-Brand, Off the Grid, Llama Champion, Well-Tuned, Tiny Titan, Sharing is Caring, Field Notes.
Space:
https://huggingface.co/spaces/build-small-hackathon/read-along-ai
Demo video:
https://youtu.be/4bpbwhipLU4
Repo:
https://github.com/kingkw1/read-along-ai
Built with Codex as the lead development partner. updated a Space 1 day ago
build-small-hackathon/read-along-aiOrganizations
kingkw1/rl_course_vizdoom_health_gathering_supreme
Reinforcement Learning • Updated
kingkw1/ppo_unit8a
Reinforcement Learning • Updated
kingkw1/poca-SoccerTwos
Reinforcement Learning • Updated • 9
kingkw1/a2c-PandaReachDense-v2
Reinforcement Learning • Updated
kingkw1/a2c-AntBulletEnv-v0
Reinforcement Learning • Updated
kingkw1/ppo-Pyramids
Reinforcement Learning • Updated • 5
kingkw1/ppo-SnowballTarget
Reinforcement Learning • Updated • 1
kingkw1/Reinforce-pixelcopter
Reinforcement Learning • Updated
kingkw1/Reinforce-v1
Reinforcement Learning • Updated
kingkw1/dqn-LunarLander-v2-hypertuning-v01
Reinforcement Learning • Updated • 2
kingkw1/dqn-SpaceInvadersNoFrameskip-vsc
Reinforcement Learning • Updated • 3
kingkw1/dqn-SpaceInvadersNoFrameskip-v4
Reinforcement Learning • Updated
kingkw1/q-taxi-v3
Reinforcement Learning • Updated
kingkw1/q-FrozenLake-v1-4x4-noSlippery
Reinforcement Learning • Updated
kingkw1/ppo-LunarLander-v2
Reinforcement Learning • Updated • 2