Skip to main content

Pipeline STT complet du francais — audio vers texte (CTC + P2G)

Project description

Lectura STT — Pipeline STT complet du francais

Pipeline de transcription automatique du francais : audio vers texte. Chaine le decodeur CTC (audio → phones IPA) avec le pipeline P2G (phones → orthographe).

Installation

# Mode minimal (CTC uniquement, transcription phonetique)
pip install lectura-stt

# Avec pipeline P2G complet (formules + noms propres)
pip install lectura-stt[p2g]

# Avec backend ONNX (inference locale rapide)
pip install lectura-stt[onnx]

# Avec support micro
pip install lectura-stt[micro]

Exemple

import numpy as np
from lectura_stt import creer_engine

engine = creer_engine()

# Charger un fichier WAV
import wave
with wave.open("bonjour.wav", "rb") as wf:
    sr = wf.getframerate()
    audio = np.frombuffer(
        wf.readframes(wf.getnframes()), dtype=np.int16
    ).astype(np.float32) / 32768.0

result = engine.transcrire(audio, sr=sr)
print(result.ipa)    # "b ɔ̃ ʒ u ʁ | l ə | m ɔ̃ d ."
print(result.texte)  # "Bonjour le monde."

Architecture

Audio 16kHz mono
     |
     v
[lectura-ctc]  --> IPA phones "b ɔ̃ ʒ u ʁ | l ə | m ɔ̃ d ."
     |
     v
[_parse_ctc]   --> mots IPA ["bɔ̃ʒuʁ", "lə", "mɔ̃d"] + ponctuation ["."]
     |
     v
[lectura-p2g]  --> ortho ["bonjour", "le", "monde"]
     |
     v
[_assembler]   --> "Bonjour le monde."

Licence

AGPL-3.0-or-later — voir LICENCE.txt. Licence commerciale disponible — voir LICENCE-COMMERCIALE.md.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lectura_stt-1.0.3.tar.gz (22.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lectura_stt-1.0.3-py3-none-any.whl (20.1 kB view details)

Uploaded Python 3

File details

Details for the file lectura_stt-1.0.3.tar.gz.

File metadata

  • Download URL: lectura_stt-1.0.3.tar.gz
  • Upload date:
  • Size: 22.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for lectura_stt-1.0.3.tar.gz
Algorithm Hash digest
SHA256 339fc278c0c18f8a78926ba467df920d14a0f9dcd3bd8857cb4c4aaa2aa115b1
MD5 46f2dd54914e531e1bcbd419f309a13a
BLAKE2b-256 e7be8120502bfdbd874adc1bc32a2a9d7106448b8979a275d54baecc43f2dbc3

See more details on using hashes here.

File details

Details for the file lectura_stt-1.0.3-py3-none-any.whl.

File metadata

  • Download URL: lectura_stt-1.0.3-py3-none-any.whl
  • Upload date:
  • Size: 20.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for lectura_stt-1.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 58356af7899c38b43f3c36467d61e78416e248921ec81345079412d80dda14d8
MD5 1c613691d7ee6ff14d4ec7ada94a1016
BLAKE2b-256 cbf77c25df2065afcd4fe8e676f0d56808c32f88f586687f7d0f969dd46e631f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page