shabda
shabda (Sanskrit: word / sound) — Grapheme-to-phoneme (G2P) conversion for Rust.
The bridge between text and vocal synthesis. Converts English text to phoneme sequences ready for svara's synthesis engine. Uses shabdakosh's 10,000+ entry pronunciation dictionary with intelligent rule-based fallback.
Features
- G2P engine: Text to phoneme events in one call
- 10,000+ word dictionary: Via shabdakosh — CMUdict-derived, O(1) lookup, variant pronunciations
- Rule-based fallback: Context-sensitive letter-to-sound rules for unknown words
- Silent letter handling: knight, gnome, write, psychology, lamb, etc.
- Morphological awareness: -tion/-sion suffixes, -ed endings (/t/ vs /d/ vs /ɪd/), un-/re-/dis- prefixes
- Magic-e and r-colored vowels: make→/meɪk/, car→/kɑr/, bird→/bɜrd/
- Syllabification: Maximal Onset Principle with sonority constraints
- Syllable-weight stress: Heavy penult rule for polysyllabic words
- Phrase-level prosody: Commas insert 150ms pauses, periods insert 300ms pauses
- Number expansion: 42→"forty two", 3.14→"three point one four"
speak()method: Text to audio samples in one call (G2P + svara rendering)- Custom dictionaries: Add application-specific pronunciations via user overlay
- Serde support: All types serialize/deserialize
no_stdcompatible: Works with alloc, no standard library required
Quick Start
use *;
// Convert text to phonemes
let g2p = new;
let events = g2p.convert.unwrap;
// Or go directly to audio
let voice = new_male;
let samples = g2p.speak.unwrap;
Architecture
Input text
|
v
Number Expansion (42 → "forty two")
|
v
Normalizer (lowercase, punctuation → phrase markers)
|
v
Tokenizer (split into words, detect phrase boundaries)
|
v
G2P Engine (dictionary lookup → rule-based fallback)
| Rules: silent letters → prefix strip → pattern match → suffix post-process
v
Syllabifier (Maximal Onset Principle)
|
v
Prosody Mapper (syllable-weight stress, phrase pauses)
|
v
Vec<PhonemeEvent> (ready for svara)
Feature Flags
| Feature | Default | Description |
|---|---|---|
std |
Yes | Standard library support. Disable for no_std + alloc |
logging |
No | Structured logging via tracing-subscriber |
json |
No | JSON dictionary import/export via serde_json |
Consumers
- dhvani — AGNOS audio engine (text-to-speech pipeline)
- vansh — Voice AI shell
- Any application needing text-to-speech with svara
License
GPL-3.0-only