datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
librispeech_asr_dummylibrispeech_asr
Dataset Card for librispeech_asr
Dataset Summary
LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Supported Tasks and Leaderboards
automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic… See the full description on the dataset page: https://huggingface.co/datasets/openslr/librispeech_asr.multilingual_librispeech
Dataset Card for MultiLingual LibriSpeech
Dataset Summary
This is a streamable version of the Multilingual LibriSpeech (MLS) dataset.
The data archives were restructured from the original ones from OpenSLR to make it easier to stream.
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, Spanish, French, Italian, Portuguese, Polish.… See the full description on the dataset page: https://huggingface.co/datasets/facebook/multilingual_librispeech.librispeech_asr_dummyLibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,
prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read
audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Note that in order to limit the required storage for preparing this dataset, the audio
is stored in the .flac format and is not converted to a float32 array. To convert, the audio
file to a float32 array, please make use of the `.map()` function as follows:
```python
import soundfile as sf
def map_to_array(batch):
speech_array, _ = sf.read(batch["file"])
batch["speech"] = speech_array
return batch
dataset = dataset.map(map_to_array, remove_columns=["file"])
```librispeech_long
Dataset Card for "librispeech_long"
More Information needed
test_librispeech_parquetlibrispeech_asr-noise
Dataset Card for "librispeech_asr-noise"
More Information needed
librispeech_asr
Dataset Card for librispeech_asr
Dataset Summary
LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Supported Tasks and Leaderboards
automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for… See the full description on the dataset page: https://huggingface.co/datasets/zihan-audio/librispeech_asr.multilingual_librispeech_fr_processed
multilingual_librispeech_fr_processed
Dataset Description
Dataset Summary
The data files can be found on the illuin gcloud instance at this adress: unknown_url
This dataset has been processed from Huggingface Hub dataset facebook/multilingual_librispeech and the config french
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More… See the full description on the dataset page: https://huggingface.co/datasets/BrunoHays/multilingual_librispeech_fr_processed.librispeech_asr_demolensless_mic_librispeech
Dataset Card for LenslessMic Version of Librispeech Dataset
Dataset Summary
A LenslessMic version of the Librispeech dataset from the
"LenslessMic: Audio Encryption and Authentication via Lensless Computational Imaging" paper.
Partition
# Audio
# Frames
train-clean
587
73,699
train-other
150
18,561
test-clean
1,089
185,773
test-other
512
62,901
To download the dataset and work with it, use our official repository.
Dataset is collected using DigiCam.… See the full description on the dataset page: https://huggingface.co/datasets/Blinorot/lensless_mic_librispeech.LibriSpeechLibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned.
Acoustic models, trained on this data set, are available at icefall and language models, suitable for evaluation can be found at openslr.
For more information, see the paper "LibriSpeech: an ASR corpus based on public domain audio… See the full description on the dataset page: https://huggingface.co/datasets/k2-fsa/LibriSpeech.librispeech-alignments
Dataset Card for Librispeech Alignments
Librispeech with alignments generated by the Montreal Forced Aligner. The original alignments in TextGrid format can be found here
Dataset Details
Dataset Description
Librispeech is a corpus of read English speech, designed for training and evaluating automatic speech recognition (ASR) systems. The dataset contains 1000 hours of 16kHz read English speech derived from audiobooks.
The Montreal Forced Aligner (MFA) was used… See the full description on the dataset page: https://huggingface.co/datasets/gilkeyio/librispeech-alignments.librispeechlibrispeech_asr_arrowlibrispeech_asrlibrispeech-clean-100-v0-2-0librispeech-clean-100-km-translate-v0-2-0librispeech-data
Dataset Card for "librispeech-data"
More Information needed
bridge_module_wav2vec_librispeech_v1librispeech-full-dataset-modelmultilingual_librispeech_fr_punctuatedThis is a streamable version of the Multilingual LibriSpeech (MLS) dataset.
The data archives were restructured from the original ones from [OpenSLR](http://www.openslr.org/94)
to make it easier to stream.
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, Spanish, French, Italian, Portuguese, Polish.librispeech_synth
Dataset Card for "librispeech_synth"
More Information needed
russian_librispeech
Russian LibriSpeech (RuLS)
Identifier: SLR96 from openslr.org
Summary: This dataset is based on LibriVox audiobooks
Category: Speech
License: The dataset is Public Domain in the USA.
About this resource:
Russian LibriSpeech (RuLS) dataset is based on LibriVox's public domain audio books (see BOOKS.TXT for the list of included books) and contains about 98 hours of audio data.
librispeech_asr-audiodec_dac_16k
Dataset Card for "librispeech_asr-audiodec_dac_16k"
More Information needed
librispeech_asr-prompted
Dataset Card for "librispeech_asr-prompted"
More Information needed
librispeechlibrispeech-phoneme-featureshubert_layer9-librispeech-asr100h
Dataset Card for "hubert_layer9-librispeech-asr100h"
More Information needed
multilingual-librispeech-german-labeled