lectura-monospeaker 3.1.4

Synthese vocale neuronale monospeaker francais — Matcha-Conformer + HiFi-GAN (ONNX)

lectura-monospeaker

Moteur de synthese vocale neuronale monospeaker pour le francais — Matcha-Conformer + HiFi-GAN (ONNX).

Installation

# Version minimale (API distante, zero deps)
pip install lectura-monospeaker

# Version locale (inference ONNX)
pip install lectura-monospeaker[onnx]

Pour le pipeline complet texte → audio, utilisez pip install lectura-tts-mono (inclut le G2P).

Utilisation

Depuis des phonemes IPA

from lectura_monospeaker import creer_engine

engine = creer_engine(mode="local")
result = engine.synthesize_phonemes(
    "bɔ̃ʒuʁ",
    phrase_type=0,
    pitch_range=1.3,
)
# result.samples: numpy float32
# result.sample_rate: 22050
# result.phoneme_timings: list[PhonemeTiming]

Via l'API distante

from lectura_monospeaker import creer_engine

engine = creer_engine(mode="api", api_url="https://api.lectura.world")
result = engine.synthesize("Bonjour")

Controles prosodiques

Parametre	Defaut	Description
duration_scale	1.0	Vitesse globale
pitch_shift	0.0	Decalage F0 (demi-tons)
pitch_range	1.3	Variation F0 (1.0 = neutre)
energy_scale	1.0	Intensite
pause_scale	1.0	Duree des pauses
phrase_type	0	0=decl, 1=inter, 2=excl, 3=susp

Architecture

• Matcha-Conformer : phonemes → mel-spectrogramme via flow matching ODE
• HiFi-GAN V1 : mel → audio 22050 Hz
• Runtime : ONNX (pas de dependance PyTorch)

Emplacements des modeles

Recherche dans l'ordre :

1. Parametre models_dir explicite
2. $LECTURA_MODELS_DIR/tts_mono/
3. ~/.lectura/models/tts_mono/
4. Modeles embarques dans le package (version privee)

Licence

Licence proprietaire Lectura. Voir LICENCE.txt.