text
stringlengths 21
216
| file
stringlengths 30
32
| audio
sequencelengths 71.9k
513k
| sampling_rate
int64 40.1k
40.1k
| duration
float64 1.79
12.8
|
---|---|---|---|---|
".ููุฃูููููู ููุง ููุฑูู ุฃูููููู ุนูููู ุงูุณูููููู .ุซูู
ูู ู
ู(...TRUNCATED) | ch_20_arabic_tts_dataset_48.wav | [0.000457763671875,0.001007080078125,0.001434326171875,0.0018310546875,0.002105712890625,0.002288818(...TRUNCATED) | 40,100 | 5.29 |
.ุงููุนูู
ูุฑู .ููููููุตู ููุงูุฐูููููุจู ุชูุฒููุฏู | ch_05_arabic_tts_dataset_436.wav | [0.0,0.000091552734375,0.00018310546875,0.000244140625,0.0003662109375,0.000457763671875,0.000396728(...TRUNCATED) | 40,100 | 3.06 |
.ูููููููุฉู ุจููููู ุงููู
ูููุซูุฑูููู .ููุฅูููู ุงููููุงุณู | ch_20_arabic_tts_dataset_20.wav | [0.00006103515625,-0.000030517578125,0.00006103515625,-0.000030517578125,-0.000030517578125,0.000061(...TRUNCATED) | 40,100 | 3.32 |
".ุฅูููุง ุชูููุถููููุง .ููู
ูููููุง: ุงููุนููููู .ุงูููุฐูู ููุณูุช(...TRUNCATED) | ch_16_arabic_tts_dataset_112.wav | [0.003021240234375,0.00299072265625,0.003173828125,0.003448486328125,0.003662109375,0.00369262695312(...TRUNCATED) | 40,100 | 5.08 |
.ุฅูููุง ู
ูุซููู ู
ูุฑูุฐูููู .ููุชูุดูุจูููู .ู
ูุนูููููู | ch_16_arabic_tts_dataset_554.wav | [0.000823974609375,0.001007080078125,0.001251220703125,0.001434326171875,0.001495361328125,0.0012817(...TRUNCATED) | 40,100 | 3.48 |
ู
ูุง ุฃูุนูุธูู
ู ุงููู
ูุตูุงุฆูุจู ุนูููุฏูููู
ูุ :ููููุงูู | ch_11_arabic_tts_dataset_582.wav | [0.002105712890625,0.001678466796875,0.001007080078125,0.000701904296875,0.001129150390625,0.0015258(...TRUNCATED) | 40,100 | 3.22 |
".ููููููุงููุจู .ู
ููู ุฃูููุฑูุถูุง .ุฑูููู ุงูุฏูููููู ุฃูุณูููู(...TRUNCATED) | ch_19_arabic_tts_dataset_187.wav | [-0.00128173828125,-0.00140380859375,-0.00146484375,-0.00146484375,-0.001434326171875,-0.00122070312(...TRUNCATED) | 40,100 | 5.41 |
.ููุฏูุงุฑููู .ููุงู
ูุฒูุญู ูููู .ุฅููู ุงููู
ูุฒูุงุญู | ch_10_arabic_tts_dataset_551.wav | [-0.00006103515625,0.0,-0.00006103515625,0.0,0.00018310546875,0.0001220703125,0.000152587890625,0.00(...TRUNCATED) | 40,100 | 3.11 |
".ููุง ุฑูุณูููู ุงูููููู ุฅูููุง ููุฒูููููุง ุฏูุงุฑูุง ููููุซูุฑู (...TRUNCATED) | ch_18_arabic_tts_dataset_301.wav | [-0.000885009765625,-0.001434326171875,-0.002288818359375,-0.002166748046875,-0.00152587890625,-0.00(...TRUNCATED) | 40,100 | 4.7 |
.ููุฅููู ุญูุถูุฑู ุงููู
ูุตูููู .ููุฃูููุชู .ุธูููู | ch_11_arabic_tts_dataset_445.wav | [0.003173828125,0.00250244140625,0.001739501953125,0.001129150390625,0.000274658203125,-0.0006713867(...TRUNCATED) | 40,100 | 3.77 |
End of preview. Expand
in Dataset Viewer.
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 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}
}
- Downloads last month
- 1,068