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ghaymah-genai-exam/q2-arabic-tts-stt/arabic-tts-stt-proposal.md

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Q2 — Propose an Arabic TTS or STT Model + Dataset

Budget: ~6 minutes · Weight: 15%

Choose ONE option

  • Option A — TTS. Propose a text-to-speech model to fine-tune for Arabic.
  • Option B — STT. Propose a speech-to-text model to fine-tune for Arabic.

The task

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.)

Cover:

  1. Model — name it, and say why: architecture, license, multilingual/Arabic support.
  2. Dataset — name it, and say why: size, dialect (MSA vs. Egyptian vs. Gulf vs. Maghrebi), license, where to get it.
  3. Why this pairing works for Arabic — 12 sentences (e.g. diacritization handling, dialect coverage).
  4. One key risk — 1 sentence.

ANSWER — Arabic TTS/STT Proposal

Option chosen: A / B (delete one)

Proposed model

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Proposed dataset

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Why this pairing works for Arabic

write here

One key risk

write here