Arabic TTS model (FastPitch) from the tts-arabic-pytorch repo in the ONNX format.
Audio samples can be found here.
Install with:
pip install git+https://github.com/nipponjo/tts_arabic.git
Examples:
# %%
from tts_arabic import tts
# %%
text = "اَلسَّلامُ عَلَيكُم يَا صَدِيقِي."
wave = tts(text, speaker=2, pace=0.9, play=True)
# %% Buckwalter transliteration
text = ">als~alAmu Ealaykum yA Sadiyqiy."
wave = tts(text, speaker=0, play=True)
# %% Unvocalized input
text_unvoc = "القهوة مشروب يعد من بذور البن المحمصة"
wave = tts(text_unvoc, play=True, vowelizer='shakkelha')
TTS options:
from tts_arabic import tts
text = "اَلسَّلامُ عَلَيكُم يَا صَدِيقِي."
wave = tts(
text, # input text
speaker = 1, # speaker id; choose between 0,1,2,3
pace = 1, # speaker pace
denoise = 0.005, # HiFiGAN denoiser strength
pitch_mul = 1, # pitch multiplier
pitch_add = 0, # pitch offset
play = True, # play audio?
save_to = './test.wav', # Optionally; save audio WAV file
bits_per_sample = 32, # when save_to is specified (8, 16 or 32 bits)
vowelizer = None, # vowelizer model
cuda = True, # use CUDA provider?
)