Inclusive Computer Science Education & Live Technical Dictation

Making Technical Lectures Accessible for Everyone.

Standard speech recognition fails completely on programming syntax. CodeCaption bridges the accessibility gap for deaf, hard-of-hearing, and remote students by translating verbal lectures into structured, syntax-highlighted code in real time.

Verbal Syntax ParsingcamelCase & Operator MappingContinuous Live Textarea1-Click Markdown Notes

Audio Ingestion Ready

Hardware acoustic equalizer + 5-hypothesis phonetic soundex disambiguation for low quality & quiet microphones.

Sensitivity:
Acoustic Equalizer & DSP Pre-AmpStandby
Or Test Pre-Recorded Technical CS Lectures (1-Click Evaluation):

Live Spoken Speech Text Area

Whatever you say into your microphone is typed down here in real-time.

Editable speech transcript • Updates the code canvas automatically

Live Synthesized Code Canvas

typescript

Real-time code generated from spoken programming terminology.

lecture_synthesizer.tsUTF-8

No Code Synthesized Yet

Spoken technical phrases will be automatically transformed into valid syntax here in real-time.

How CodeCaption Works — Technical Architecture

Natural Language Processing pipeline built for technical programming semantics.

1

Audio Ingestion & VAD

Captures continuous audio streams using the Web Speech API with real-time Voice Activity Detection (VAD) and noise floor suppression.

2

Verbal Syntax Parser

Identifies verbal programming keywords, translates verbal operators (*"strictly equals" ➔ ===, "open brace" ➔ {*), and applies camelCase tokenization.

3

Split-Screen Synchronizer

Separates general lecture commentary from executable code blocks, formatting both into exportable, accessible Markdown notes.