CRT
8a34bd1df1
Ground-up Rust implementation of the algorithms behind Textream's three guidance modes. Nothing here touches the OS, so it is testable without a microphone and a future Linux build needs only a new shell. Offsets are grapheme clusters rather than chars, matching how the macOS app counts Characters. A char-based index would drift on emoji cues and combining marks and pull the highlight off the word the reader is looking at. - text: CJK-aware tokenisation, RTL inference that ignores [cue] contents - alignment: cue ranges, skip-ahead, and the commit policy that rejects a large unconfirmed jump from a single dead estimate - script: parsed script with word table and progress/offset conversions - matcher: character- and word-level passes reconciled per update - vad: RMS metering plus a two-threshold gate with hangover - scroll: constant-pace driver shared by Classic and Voice-Activated 75 unit tests and a doctest cover cue skipping, filler words, misrecognition, CJK, RTL, and the degenerate empty-script and non-finite-sample paths.
14 lines
414 B
TOML
14 lines
414 B
TOML
[package]
|
|
name = "prompt-core"
|
|
description = "Platform-neutral teleprompter engine: script segmentation, cue handling, speech-to-script alignment and voice activity detection."
|
|
version.workspace = true
|
|
edition.workspace = true
|
|
rust-version.workspace = true
|
|
license.workspace = true
|
|
authors.workspace = true
|
|
|
|
[dependencies]
|
|
unicode-segmentation.workspace = true
|
|
|
|
[lints.rust]
|
|
missing_debug_implementations = "warn"
|