Datasets:

Modalities:
Audio
Text
Formats:
parquet
Languages:
Arabic
ArXiv:
DOI:
Libraries:
Datasets
Dask
License:
herwoww commited on
Commit
66c1fc2
·
verified ·
1 Parent(s): a3d585a

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +18 -3
README.md CHANGED
@@ -92,8 +92,9 @@ size_categories:
92
 
93
  <div style="font-size: 16px; text-align: justify;">
94
  <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>
95
- 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>
96
- <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.
 
97
  <br><br> If you use the dataset or transcriptions provided in Huggingface, <u>place cite the paper</u>.
98
  </p>
99
  </div>
@@ -114,4 +115,18 @@ print(df)
114
  num_rows: 100
115
  })
116
  })
117
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
92
 
93
  <div style="font-size: 16px; text-align: justify;">
94
  <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>
95
+ ArVoice comprises: (1) professionally recorded audio by 2 male and 2 female voice artists from diacritized transcripts, (2) professionally recorded audio by 1 male and 1 female voice artists from undiacritized transcripts, (3) a modified subset of the
96
+ Arabic Speech Corpus, and (4) synthesized speech using commercial TTS 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>
97
+ <strong> This repo consists of only Parts (3), ASC subset, and (4) synthetic subset </strong>; to access the main subset, part (1,2), which consists of six professional speakers, <a href="/"> please sign this agreement</a> and email it to us.
98
  <br><br> If you use the dataset or transcriptions provided in Huggingface, <u>place cite the paper</u>.
99
  </p>
100
  </div>
 
115
  num_rows: 100
116
  })
117
  })
118
+ ```
119
+
120
+
121
+ Data Statistics
122
+ | Type | Part | Gender | Speaker Origin | Duration (hrs) | Text Source |
123
+ |-----------|-----------------|------------|----------------|----------------|------------------------------|
124
+ | Human | ArVoice Part 1 | M | Egypt | 1.17 | Tashkeela |
125
+ | | | F | Jordan | 1.45 | |
126
+ | | | M | Egypt | 1.58 | |
127
+ | | | F | Morocco | 1.23 | |
128
+ | | ArVoice Part 2 | M | Palestine | 0.93 | Khaleej |
129
+ | | | F | Egypt | 0.93 | |
130
+ | | ArVoice Part 3 | M | Syria | 2.69 | ASC |
131
+ | Synthetic | ArVoice Part 4 | 2×M, 2×F | - | 73.5 | Tashkeela, Khaleej, ASC |
132
+