Datasets:

MBZUAI
/

ArVoice

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-    <p>ArVoice is a multi-speaker Modern Standard Arabic (MSA) speech corpus with fully diacritized transcriptions, intended  for multi-speaker speech synthesis, and can be useful for other tasks such as speech-based diacritic restoration, voice conversion, and deepfake detection. ArVoice comprises: (1) a new professionally recorded set from 6 voice talents with diverse demographics, (2) a modified subset of the Arabic Speech Corpus; and (3) high-quality synthetic speech from 2 commercial systems. The complete corpus consists of a total of 83.52 hours of speech across 11 voices; around 10 hours consist of human voices from 7 speakers.The modified subset and full synthetic subset are available in this repo. To access the new professionally recorded subset, <a href="/"> sign this agreement</a>. If you use the dataset or transcriptions provided in Huggingface, <u>place cite the paper</u>.
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+    <p>ArVoice is a multi-speaker Modern Standard Arabic (MSA) speech corpus with fully diacritized transcriptions, intended  for multi-speaker speech synthesis, and can be useful for other tasks such as speech-based diacritic restoration, voice conversion, and deepfake detection. <br>
+      ArVoice comprises: (1) a new professionally recorded set from 6 voice talents with diverse demographics, (2) a modified subset of the Arabic Speech Corpus; and (3) high-quality synthetic speech from 2 commercial systems. The complete corpus consists of a total of 83.52 hours of speech across 11 voices; around 10 hours consist of human voices from 7 speakers. <br> <br>
+      <strong> This repo consists of only Parts (2), ASC subset, and (3) synthetic subset </strong>; to access the main subset, part (1), which consists of six professional speakers, <a href="/"> please sign this agreement</a> and email it to us.
+      <br><br> If you use the dataset or transcriptions provided in Huggingface, <u>place cite the paper</u>.
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