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add the other languages
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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
.
β”œβ”€β”€ metainfo.txt # Info about the LibriVox data used in the dataset (one row per chapter)
β”œβ”€β”€ dev # Dev (validation) subset
β”‚Β Β  β”œβ”€β”€ segments.txt
β”‚Β Β  β”œβ”€β”€ transcripts.txt
β”‚Β Β  └── audio
β”‚ └── ...
β”œβ”€β”€ test # Test subset
β”‚Β Β  β”œβ”€β”€ segments.txt
β”‚Β Β  β”œβ”€β”€ transcripts.txt
β”‚Β Β  └── audio
β”‚ └── ...
β”œβ”€β”€ train # Train subset
β”‚Β Β  β”œβ”€β”€ segments.txt # LibriVox audio links and segment start/end timestamps (in sec) for each audio file
β”‚Β Β  β”œβ”€β”€ transcripts.txt # Transcripts file with audio file name as key
β”‚Β Β  β”œβ”€β”€ audio
β”‚ β”‚ β”œβ”€β”€ 10148 # LibriVox speaker ID
β”‚ β”‚ β”‚ β”œβ”€β”€ 10119 # LibriVox book ID
β”‚ β”‚ β”‚ β”‚ β”œβ”€β”€ 10148_10119_000000.flac # 16Khz audio file
β”‚ β”‚ β”‚ β”‚ β”œβ”€β”€ 10148_10119_000001.flac
β”‚ β”‚ β”‚ β”‚ └── ...
β”‚ β”‚ β”‚ └── ...
β”‚ β”‚ └── ...
β”‚Β Β  └── limited_supervision # Limited supervision training sets (10 min, 1 hr and 10 hr)
β”‚ β”œβ”€β”€ 1hr # Data of the 1h split (made up of 6 folds of 10 min)
β”‚ β”‚ β”œβ”€β”€ 0 # first 10 min fold
β”‚ β”‚ β”‚ └── handles.txt # List of audio handles for the split
β”‚ β”‚ β”œβ”€β”€ ...
β”‚ β”‚ └── 6 # last 10 min fold
β”‚ β”‚ └── handles.txt
β”‚ └── 9hr # Remaining data of the 10h split (10h=1h+9h)
β”‚ └── handles.txt
β”œβ”€β”€ LICENSE # License info
└── 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.