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QwenCleo-ASR

mohammedaly22

The best open-source model for Egyptian Arabic & code-switching speech recognition Built on Qwen3-ASR-1.7B , fine-tuned for Egyptian dialect and Arabic ↔ English code-switching. QwenCleo — the name carries three meanings: Qwen , the powerful base model it is built on; Queen , signalling a model that reigns over its domain; and Cleo , for Cleopatra , the queen of Egypt — because this model is tailored for Egyptian Arabic. 👑🏺

Speech recognition

Input Audio→ Output Text

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QwenCleo-ASR-GGUF

mohammedaly22

**Egyptian Arabic & code-switching speech recognition for audio.cpp: 3–4× faster than PyTorch on the same GPU, no Python** These are standalone GGUF packages of QwenCleo-ASR, a Qwen3-ASR-1.7B fine-tune for Egyptian Arabic and Arabic↔English code-switching (`فبتديك كل ال soft skills بشكل indirect`). On the author's 3,699-utterance Egyptian test set it reaches **19.85% WER, against 41.51% for base Qwen3-ASR-1.7B**. Full results are on the original model card. In audio.cpp it runs through the existing **`qwen3_asr`** family, the same C++ runtime and options as Qwen3-ASR: offline and streaming modes, long-audio chunking, word timestamps with Qwen3 Forced Aligner, and the OpenAI-compatible server.

Speech recognition

Input Audio→ Output Text

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VoiceTut-TTS

mohammedaly22

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Speech synthesis

Input Text→ Output Audio

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VoiceTut-TTS-GGUF

mohammedaly22

**Egyptian Arabic & code-switching TTS for audio.cpp: up to 6.6× faster than the PyTorch package on the same GPU, no Python** These are standalone GGUF packages of VoiceTut-TTS, an OmniVoice fine-tune trained on ~380 hours of Egyptian podcast speech. It speaks natural Egyptian Arabic, switches between Arabic and English mid-sentence (`عندي meeting بكرة`), and clones voices zero-shot. VoiceTut has exactly the same architecture as OmniVoice, so it runs through audio.cpp's existing **`omnivoice`** family with every OmniVoice route: voice cloning, voice design, streaming, the long-text chunker, and the server.

Speech synthesis

Input Text→ Output Audio

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 4

QwenCleo-ASR

QwenCleo-ASR-GGUF

VoiceTut-TTS

VoiceTut-TTS-GGUF

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