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Datasets:
facebook
/
multilingual_librispeech

Tasks:
Automatic Speech Recognition
Text-to-Speech
Text-to-Audio
Modalities:
Audio
Text
Formats:
parquet
Languages:
German
Dutch
French
Size:
1M - 10M
ArXiv:
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
17
lhoestq HF Staff commited on
Commit
c387b85
·
1 Parent(s): 7371bb7

add the other languages

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  1. data/.gitattributes +4 -0
  2. data/mls_dutch/LICENSE +6 -0
  3. data/mls_dutch/README +65 -0
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  15. data/mls_dutch/dev/transcripts.txt +3 -0
  16. data/mls_dutch/metainfo.txt +0 -0
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data/.gitattributes ADDED
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+ segments.txt filter=lfs diff=lfs merge=lfs -text
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+ **/segments.txt filter=lfs diff=lfs merge=lfs -text
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data/mls_dutch/LICENSE ADDED
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+ Copyright (c) Facebook, Inc. and its affiliates.
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+ All rights reserved.
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+
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+ Multilingual LibriSpeech (MLS) corpus is licensed under the Creative Commons Attribution 4.0 International License.
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+ This license is available here: https://creativecommons.org/licenses/by/4.0/.
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+
data/mls_dutch/README ADDED
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+ INTRODUCTION
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+ ============
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+ Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus
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+ suitable for speech research. The dataset is derived from read audiobooks
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+ from LibriVox and consists of 8 languages - English, German, Dutch, French,
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+ Spanish, Italian, Portuguese and Polish.
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+
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+
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+ STATISTICS
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+ ==========
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+ ------------------------------------------------
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+ Language | train(hrs) | dev(hrs) | test(hrs)
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+ ------------------------------------------------
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+ English | 44659.74 | 15.75 | 15.55
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+ German | 1966.51 | 14.28 | 14.29
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+ Dutch | 1554.24 | 12.76 | 12.76
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+ French | 1076.58 | 10.07 | 10.07
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+ Spanish | 917.68 | 9.99 | 10.00
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+ Italian | 247.38 | 5.18 | 5.27
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+ Portuguese | 160.96 | 3.64 | 3.74
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+ Polish | 103.65 | 2.08 | 2.14
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+ ------------------------------------------------
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+
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+
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+ DIRECTORY STRUCTURE
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+ ===================
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+
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+ A typical top-level directory layout
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+
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+ .
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+ ├── metainfo.txt # Info about the LibriVox data used in the dataset (one row per chapter)
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+ ├── dev # Dev (validation) subset
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+ │   ├── segments.txt
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+ │   ├── transcripts.txt
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+ │   └── audio
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+ │ └── ...
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+ ├── test # Test subset
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+ │   ├── segments.txt
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+ │   ├── transcripts.txt
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+ │   └── audio
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+ │ └── ...
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+ ├── train # Train subset
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+ │   ├── segments.txt # LibriVox audio links and segment start/end timestamps (in sec) for each audio file
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+ │   ├── transcripts.txt # Transcripts file with audio file name as key
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+ │   ├── audio
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+ │ │ ├── 10148 # LibriVox speaker ID
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+ │ │ │ ├── 10119 # LibriVox book ID
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+ │ │ │ │ ├── 10148_10119_000000.flac # 16Khz audio file
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+ │ │ │ │ ├── 10148_10119_000001.flac
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+ │ │ │ │ └── ...
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+ │ │ │ └── ...
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+ │ │ └── ...
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+ │   └── limited_supervision # Limited supervision training sets (10 min, 1 hr and 10 hr)
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+ │ ├── 1hr # Data of the 1h split (made up of 6 folds of 10 min)
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+ │ │ ├── 0 # first 10 min fold
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+ │ │ │ └── handles.txt # List of audio handles for the split
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+ │ │ ├── ...
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+ │ │ └── 6 # last 10 min fold
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+ │ │ └── handles.txt
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+ │ └── 9hr # Remaining data of the 10h split (10h=1h+9h)
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+ │ └── handles.txt
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+ ├── LICENSE # License info
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+ └── README
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+
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+ 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.
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