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Lisper Hugging Face Spaces demo interface
Current public demo surface on Hugging Face Spaces.

Lisper

Gemma 4 audio speech-practice app for low-pressure lisp feedback, with public model artifacts and a browser-ready ONNX/WebGPU path.

AI speech-practice app · Hackathon submission with demo, model artifacts, and writeup

Gemma 4 audioLoRAHugging Face SpacesONNXWebGPU
Held-out eval
2,000 rows
Final v18 hybrid evaluation set from the hackathon path.
Hard errors
0
No hard errors on the final held-out evaluation path.
Browser target
q4f16
ONNX/WebGPU package for keyless local browser inference.

Overview

Lisper is a lisp-focused speech-practice app for the Kaggle Gemma 4 Good Hackathon. Record a phrase, get concise feedback on likely /s/ and /z/ patterns, try again.

Problem

Speech apps usually treat lisps as a tiny slice of a huge category. Daily practice needs a narrow loop, not a clinic simulator.

What I built

A LoRA adapter, merged model, browser-ready ONNX/WebGPU package for keyless local inference, a public demo, and a writeup. The browser path is the point: no hosted API key required to practice.

Hard parts

Tone. Useful feedback without pretending to replace a speech-language pathologist. Repetition has to feel low-pressure or people stop.

Result

Held-out eval: 2,000 rows, 0 hard errors on the final v18 path. Demo: Hugging Face Space. Writeup: Lisper.

# gemma# speech# accessibility# hackathon