MBZUAI/ClArTTS
Dataset Summary We present a speech corpus for Classical Arabic Text-to-Speech (ClArTTS) to support the development of end-to-end TTS systems for Arabic. The speech is extracted from a LibriVox audiobook, which is then processed, segmented, and manually transcribed and annotated. The final ClArTTS corpus contains about 12 hours of speech from a single male speaker sampled at 40100 kHz. Dataset Structure A typical data point comprises the name of the audio file… See the full description on the dataset page: https://huggingface.co/datasets/MBZUAI/ClArTTS.
| Author / organization | MBZUAI |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 892 (as reported by Hugging Face) |
| Likes | 27 |
| Created | 18 April 2024 |
| Last updated at source | 1 October 2025 |
Recent changes
- 16 Oct 2026 Description: Dataset Summary We present a speech corpus for Classical Arabic Text-to-Speech (ClArTTS) to support the development of end-to-end TTS systems for Arabic. The speech is extracted from a LibriVox audiobook, which is then processed, segmented, → Dataset Summary We present a speech corpus for Classical Arabic Text-to-Speech (ClArTTS) to support the development of end-to-end TTS systems for Arabic. The speech is extracted from a LibriVox audiobook, which is then processed, segmented,
Changes detected by Silytics between refreshes of the source.
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