# 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** — 1–2 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

> _write here_ 

### Proposed dataset

> _write here_ 

### Why this pairing works for Arabic

> _write here_ 

### One key risk

> _write here_