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---
license: cc-by-nc-2.0
language:
- ar
- en
tags:
- Arabic
- English
- Broadcast
- Code-switching
- Punctuation
pretty_name: 'QASR: QCRI Aljazeera Speech Resource'
---
# QASR: QCRI Aljazeera Speech Resource
**QASR** is the largest transcribed Arabic speech corpus with around **2,000 hours** of data.
It features **multi-layer annotation**, covering **multiple Arabic dialects** and **code-switching** speech.
---
## 📘 Overview
QASR is a large-scale transcribed Arabic speech corpus collected from **Aljazeera News Channel** broadcasts.
The data is **lightly supervised** and **linguistically segmented**, designed to support a wide range of speech and language processing research tasks.
### Key Features
- ~2,000 hours of transcribed Arabic speech
- Multi-dialect and code-switching coverage
- Multi-layer linguistic annotations
- Lightly supervised transcriptions
- Linguistically motivated segmentation
---
## 📄 Lisence
Non-Commercial Purpose ONLY!
---
## 📥 Download
You can request or download the dataset using the link below:
👉 **[Download QASR Dataset](https://forms.gle/4U34R3Sy9xcmtuRw8)**
Please follow the instructions on the linked page to complete the request process and download the data.
---
## 🧠 Applications
QASR is suitable for training and evaluating:
- **Automatic Speech Recognition (ASR)** systems
- **Arabic Dialect Identification** (acoustics- and linguistics-based)
- **Punctuation Restoration**
- **Speaker Identification** and **Speaker Linking**
- **Spoken Language Understanding** and other **NLP modules** for spoken data
---
## 📊 Data Source
The corpus was **crawled from the Aljazeera news channel**, providing rich diversity in topics, speakers, and dialectal variation.
---
## 📄 Citation
If you use QASR in your research, please cite:
```bibtex
@inproceedings{mubarak_qasr_2021,
title = {{QASR}: {QCRI} {Aljazeera} {Speech} {Resource}. {A} {Large} {Scale} {Annotated} {Arabic} {Speech} {Corpus}},
booktitle = {{Proc. of ACL}},
author = {Mubarak, Hamdy and Hussein, Amir and Chowdhury, Shammur Absar and Ali, Ahmed},
year = {2021},
}
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