40 أسطر
1.1 KiB
Markdown
40 أسطر
1.1 KiB
Markdown
# Q2 — Propose an Arabic TTS or STT Model + Dataset
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⏱ **Budget: ~6 minutes** · Weight: 15%
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## Choose ONE option
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- **Option A — TTS.** Propose a text-to-speech model to fine-tune for Arabic.
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- **Option B — STT.** Propose a speech-to-text model to fine-tune for Arabic.
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## The task
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Propose **one model** and **one dataset**, with a short justification. No training, no running code — just a well-reasoned pick. (Short code/CLI snippets are allowed but not required.)
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Cover:
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1. **Model** — name it, and say why: architecture, license, multilingual/Arabic support.
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2. **Dataset** — name it, and say why: size, dialect (MSA vs. Egyptian vs. Gulf vs. Maghrebi), license, where to get it.
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3. **Why this pairing works for Arabic** — 1–2 sentences (e.g. diacritization handling, dialect coverage).
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4. **One key risk** — 1 sentence.
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## ANSWER — Arabic TTS/STT Proposal
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**Option chosen:** A / B (delete one)
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### Proposed model
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> _write here_
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### Proposed dataset
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> _write here_
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### Why this pairing works for Arabic
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> _write here_
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### One key risk
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> _write here_
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