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 Description
- **Homepage:** [ClArTTS](http://www.clartts.com/)
- **Paper:** [ClARTTS: An Open-Source Classical Arabic Text-to-Speech Corpus](https://www.isca-archive.org/interspeech_2023/kulkarni23_interspeech.pdf)

## Dataset Structure

A typical data point comprises the name of the audio file, called 'file', its transcription, called `text`, the audio as an array, called 'audio'. Some additional information; sampling rate and audio duration.

```
DatasetDict({
train: Dataset({
features: ['text', 'file', 'audio', 'sampling_rate', 'duration'],
num_rows: 9500
})
test: Dataset({
features: ['text', 'file', 'audio', 'sampling_rate', 'duration'],
num_rows: 205
})
})
```

### Citation Information
```
@inproceedings{kulkarni2023clartts,
author={Ajinkya Kulkarni and Atharva Kulkarni and Sara Abedalmon'em Mohammad Shatnawi and Hanan Aldarmaki},
title={ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus},
year={2023},
booktitle={2023 INTERSPEECH },
pages={5511--5515},
doi={10.21437/Interspeech.2023-2224}
}

```

## 数据集概述
我们发布了一款面向古典阿拉伯语文本转语音（Classical Arabic Text-to-Speech，ClArTTS）的语音语料库，旨在支撑阿拉伯语端到端文本转语音系统的研发工作。该语料库的语音素材取自LibriVox有声读物，随后经过处理、分段，并进行了人工转录与标注。最终的ClArTTS语料库包含单名男性说话者的约12小时语音，采样率为40100 kHz。

## 数据集说明
- **数据集主页：** [ClArTTS](http://www.clartts.com/)
- **相关论文：** [ClArTTS：一款开源古典阿拉伯语文本转语音语料库](https://www.isca-archive.org/interspeech_2023/kulkarni23_interspeech.pdf)

## 数据集结构
典型数据样本包含音频文件名（字段名为`file`）、对应转录文本（字段名为`text`）、以数组形式存储的音频数据（字段名为`audio`），以及采样率、音频时长等附加信息。

DatasetDict({
train: Dataset({
features: ['text', 'file', 'audio', 'sampling_rate', 'duration'],
num_rows: 9500
})
test: Dataset({
features: ['text', 'file', 'audio', 'sampling_rate', 'duration'],
num_rows: 205
})
})

## 引用信息

@inproceedings{kulkarni2023clartts,
author={Ajinkya Kulkarni and Atharva Kulkarni and Sara Abedalmon'em Mohammad Shatnawi and Hanan Aldarmaki},
title={ClArTTS: An Open-Source Classical Arabic Text-to-Speech Corpus},
year={2023},
booktitle={2023 INTERSPEECH},
pages={5511--5515},
doi={10.21437/Interspeech.2023-2224}
}