Text-to-Speech
Chatterbox
Safetensors
Arabic
Arabic
Saudi-Dialect
TTS
voice-cloning
multilingual-tts
Instructions to use muaadh019/voice-arabic-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use muaadh019/voice-arabic-tts with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
๐ธ๐ฆ NAMAA-Saudi-TTS
NAMAA-Saudi-TTS is a Saudi Arabic Text-to-Speech (TTS) model built on top of the Chatterbox Multilingual TTS architecture.
It is optimized for natural Saudi dialect speech, focusing on conversational Arabic rather than Modern Standard Arabic (MSA).
๐ Live Demo
๐ https://huggingface.co/spaces/omarelshehy/NAMAA-Saudi-Voice
โจ Key Features
- Saudi Arabic speech synthesis (
language_id = "ar") - Natural conversational prosody
- Dialect-aware pronunciation (Saudi style)
- Optional reference audio for:
- Voice cloning
- Style / tone transfer
- GPU accelerated inference
๐ฃ๏ธ Example Text
ุขุจู ุฃุฑูุญ ุงูุจูุงูุฉ ุฃุดุชุฑู ูู
ุบุฑุถ ูุฃุฑุฌุน ุจุณุฑุนุฉ.
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Model tree for muaadh019/voice-arabic-tts
Base model
ResembleAI/chatterbox