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Mostafa Mahdi

Muno459

Arabic & Qur'anic speech recognition. Building phoneme-level ASR with FastConformer & Zipformer, streaming and on-device (CoreML). Maintainer @ Quran-Lab.

Models in Library0
Datasets in Library1
Models on Hugging Face7
Followers30

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Speech recognition.

Reported licenses: other. Open a record to review its specific license and conditions.

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Datasets

Dataset · Speech recognition

QuranLab-Arabic-Speech

Mostafa Mahdi

Broad Arabic speech for next-generation ASR. Access is restricted to NPL1.2 and the internal Quran Lab team. - Broad Arabic speech in segments of 2 to 20 seconds, cut at natural pauses (silences of 1.5 s or longer are removed), sized for CTC/transducer training and for LLM transcription. - Audio is 48 kHz Opus, exactly as the source streamed it (never re-encoded). Config tts holds studio Arabic podcasts and professional narration. Each recording is graded for TTS use on four 9 s windows inside its speech, and the grade is in metadata/recordings.parquet: Recordings with music under the speech (music score above 0.15) or under 75% speech also fail. Earlier broad recordings from the same…

Access requested at publisher other 1M<n<10M