Datasets:
Tasks:
Automatic Speech Recognition
Multilinguality:
multilingual
Size Categories:
100K<n<1M
Annotations Creators:
expert-generated
Source Datasets:
original
ArXiv:
Tags:
License:
INTRODUCTION | |
============ | |
Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus | |
suitable for speech research. The dataset is derived from read audiobooks | |
from LibriVox and consists of 8 languages - English, German, Dutch, French, | |
Spanish, Italian, Portuguese and Polish. | |
STATISTICS | |
========== | |
------------------------------------------------ | |
Language | train(hrs) | dev(hrs) | test(hrs) | |
------------------------------------------------ | |
English | 44659.74 | 15.75 | 15.55 | |
German | 1966.51 | 14.28 | 14.29 | |
Dutch | 1554.24 | 12.76 | 12.76 | |
French | 1076.58 | 10.07 | 10.07 | |
Spanish | 917.68 | 9.99 | 10.00 | |
Italian | 247.38 | 5.18 | 5.27 | |
Portuguese | 160.96 | 3.64 | 3.74 | |
Polish | 103.65 | 2.08 | 2.14 | |
------------------------------------------------ | |
DIRECTORY STRUCTURE | |
=================== | |
A typical top-level directory layout | |
. | |
βββ metainfo.txt # Info about the LibriVox data used in the dataset (one row per chapter) | |
βββ dev # Dev (validation) subset | |
βΒ Β βββ segments.txt | |
βΒ Β βββ transcripts.txt | |
βΒ Β βββ audio | |
β βββ ... | |
βββ test # Test subset | |
βΒ Β βββ segments.txt | |
βΒ Β βββ transcripts.txt | |
βΒ Β βββ audio | |
β βββ ... | |
βββ train # Train subset | |
βΒ Β βββ segments.txt # LibriVox audio links and segment start/end timestamps (in sec) for each audio file | |
βΒ Β βββ transcripts.txt # Transcripts file with audio file name as key | |
βΒ Β βββ audio | |
β β βββ 10148 # LibriVox speaker ID | |
β β β βββ 10119 # LibriVox book ID | |
β β β β βββ 10148_10119_000000.flac # 16Khz audio file | |
β β β β βββ 10148_10119_000001.flac | |
β β β β βββ ... | |
β β β βββ ... | |
β β βββ ... | |
βΒ Β βββ limited_supervision # Limited supervision training sets (10 min, 1 hr and 10 hr) | |
β βββ 1hr # Data of the 1h split (made up of 6 folds of 10 min) | |
β β βββ 0 # first 10 min fold | |
β β β βββ handles.txt # List of audio handles for the split | |
β β βββ ... | |
β β βββ 6 # last 10 min fold | |
β β βββ handles.txt | |
β βββ 9hr # Remaining data of the 10h split (10h=1h+9h) | |
β βββ handles.txt | |
βββ LICENSE # License info | |
βββ README | |
For more information, see the paper "MLS: A Large-Scale Multilingual Dataset for Speech Research", Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve and Ronan Collobert, INTERSPEECH 2020. | |