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# Speech generation code (DEAF)
Scripts used to build the **BSC** and **SIC** speech datasets for [DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models](https://arxiv.org/abs/2603.18048).
## BSC pipeline
1. **`BSC/edgeTTS.py`** — Synthesize speech from text with Edge TTS.
2. **`BSC/mp3_to_wav.py`** — Convert synthesized speech and background audio (e.g. MP3) to **WAV** at **16 kHz**.
3. **`BSC/addNoise.py`** — Mix speech with background noise to produce the final **BSC** samples.
Run these steps in order from the repository root or adjust paths to match your local layout.
## SIC pipeline
- **`SIC/SIC_audio_generation.py`** — Generate speech from text for the **SIC** subset (single script end-to-end for this track). Speech synthesis uses the **ElevenLabs Python SDK**.
**Reference (tooling):** ElevenLabs. 2024. *ElevenLabs Python SDK.* [https://github.com/elevenlabs/elevenlabs-python](https://github.com/elevenlabs/elevenlabs-python)
## Requirements
Install dependencies used by the scripts you run (for example `edge-tts`, `pydub`, `soundfile`, `numpy`, `scipy`, **`elevenlabs`** for the SIC pipeline, and any others imported in each file). Pin versions in your own `requirements.txt` if you publish this folder as a standalone project.
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