hirundo-io/MASC

This dataset is Massive Arabic Speech Corpus (MASC). MASC is a dataset that contains 1,000 hours of speech sampled at 16 kHz and crawled from over 700 YouTube channels. The dataset is multi-regional, multi-genre, and multi-dialect intended to advance the research and development of Arabic speech technology with a special emphasis on Arabic speech recognition. In addition to MASC, a pre-trained 3-gram language model and a pre-trained automatic speech recognition model are also developed and made available to interested researchers. To enhance the language model, a new and inclusive Arabic speech corpus is required, and thus, a dataset of 12 M unique Arabic words, originally crawled from Twitter, is also created and released.

The original dataset is from https://ieee-dataport.org/open-access/masc-massive-arabic-speech-corpus and https://huggingface.co/datasets/pain/MASC.

This version includes the clean (manually-labeled) subset of the data.

Note: All rights to this dataset are exclusively retained by the original publishers. No transfer of ownership or copyright is implied by its distribution.

@INPROCEEDINGS{10022652, author={Al-Fetyani, Mohammad and Al-Barham, Muhammad and Abandah, Gheith and Alsharkawi, Adham and Dawas, Maha}, booktitle={2022 IEEE Spoken Language Technology Workshop (SLT)}, title={MASC: Massive Arabic Speech Corpus}, year={2023}, volume={}, number={}, pages={1006-1013}, doi={10.1109/SLT54892.2023.10022652}} }