lectura-stt-formules
STT dedie formules — modele CTC autonome avec vocabulaire semantique (~87 tokens : nombres atomiques, mois, lettres, marqueurs) au lieu de phonemes IPA.
Phase 1 — Generateur de corpus
Ce module fournit :
- Un vocabulaire de 87 tokens semantiques (
_vocab.py) - Un tokenizer events → token sequence (
_tokenizer.py) - Un generateur de corpus synthetique (
scripts/generate_corpus.py)
Installation
pip install lectura-stt-formules
# Pour la generation de corpus (necessite TTS)
pip install lectura-stt-formules[corpus]
Utilisation
Vocabulaire et tokenizer
from lectura_stt_formules import VOCAB, events_to_token_sequence, token_ids_to_names
from lectura_formules import lire_nombre
result = lire_nombre("42")
tokens = events_to_token_sequence(result)
print(tokens) # [22, 4]
print(token_ids_to_names(tokens)) # ['QUARANTE', 'DEUX']
Generation de corpus
python scripts/generate_corpus.py \
--output-dir /data/voix_ssd/formula_corpus/ \
--n-base 16000 \
--n-augmentations 3 \
--seed 42 \
--num-workers 4
Licence
AGPL-3.0-or-later — voir LICENCE.txt.
Licence commerciale et modeles locaux disponibles — contacter admin@lectura.world.
1 maintainer
Metadata
1 maintainer
Release files for lectura-stt-formules 0.1.1
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|---|---|---|---|---|
| lectura_stt_formules-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 58.4 kB
Release files / lectura_stt_formules-0.1.1.tar.gz
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