Keyword Analysis & Research: librispeech
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openslr.org
https://www.openslr.org/12/
WEBLibriSpeech 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.
DA: 68 PA: 45 MOZ Rank: 30
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LibriSpeech Dataset | Papers With Code
https://paperswithcode.com/dataset/librispeech
WEBLibriSpeech. Introduced by Vassil Panayotov et al. in Librispeech: An ASR corpus based on public domain audio books. The LibriSpeech corpus is a collection of approximately 1,000 hours of audiobooks that are a part of the LibriVox project. Most of the audiobooks come from the Project Gutenberg.
DA: 42 PA: 53 MOZ Rank: 100
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librispeech | TensorFlow Datasets
https://www.tensorflow.org/datasets/catalog/librispeech
WEBDec 22, 2022 · Description: LibriSpeech 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.
DA: 91 PA: 27 MOZ Rank: 84
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librispeech_asr · Datasets at Hugging Face
https://huggingface.co/datasets/librispeech_asr
WEBLibriSpeech 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.
DA: 84 PA: 53 MOZ Rank: 41
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Librispeech: An ASR corpus based on public domain audio books
https://ieeexplore.ieee.org/document/7178964
WEBThe LibriSpeech corpus is derived from audiobooks that are part of the LibriVox project, and contains 1000 hours of speech sampled at 16 kHz. We have made the corpus freely available for download, along with separately prepared language-model training data and pre-built language models.
DA: 43 PA: 8 MOZ Rank: 21
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LIBRISPEECH: AN ASR CORPUS BASED ON PUBLIC …
http://danielpovey.com/files/2015_icassp_librispeech.pdf
WEBThis paper presents the LibriSpeech corpus, which is a read speech data set based on LibriVox’s audio books. The corpus is freely available4 under the very permissive CC BY 4.0 li-cense [3] and there are example scripts in the open source Kaldi ASR toolkit [4] that demonstrate how high quality acoustic models can be trained on this data.
DA: 71 PA: 93 MOZ Rank: 48
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Brief Review — Librispeech: An ASR corpus based on public …
https://sh-tsang.medium.com/brief-review-librispeech-an-asr-corpus-based-on-public-domain-audio-books-95b558f3d052
WEBDec 21, 2023 · The LibriSpeech corpus is derived from audiobooks that are part of the LibriVox project, and contains 1000 hours of speech sampled at 16 kHz. Acoustic models trained on LibriSpeech give lower...
DA: 90 PA: 4 MOZ Rank: 12
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LibriSpeech — Openspeech v0.3.0 documentation - GitHub Pages
https://openspeech-team.github.io/openspeech/corpus/LibriSpeech.html
WEBLibriSpeech 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. Parameters. configs ( DictConfig) – configuraion set.
DA: 43 PA: 52 MOZ Rank: 4
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Librispeech: An ASR corpus based on public domain audio books
https://www.semanticscholar.org/paper/Librispeech%3A-An-ASR-corpus-based-on-public-domain-Panayotov-Chen/34038d9424ce602d7ac917a4e582d977725d4393
WEBApr 19, 2015 · [PDF] Librispeech: An ASR corpus based on public domain audio books | Semantic Scholar. DOI: 10.1109/ICASSP.2015.7178964. Corpus ID: 2191379. Librispeech: An ASR corpus based on public domain audio books. Vassil Panayotov, Guoguo Chen, +1 author. S. Khudanpur. Published in IEEE International Conference… 19 April 2015. Computer Science, Linguistics.
DA: 25 PA: 6 MOZ Rank: 75
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arXiv:2012.03411v2 [eess.AS] 19 Dec 2020
https://arxiv.org/pdf/2012.03411.pdf
WEBThis paper introduces Multilingual LibriSpeech (MLS) dataset, a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages, including about 44.5K hours of English and a total of about 6K hours for other lan-guages.
DA: 94 PA: 91 MOZ Rank: 58
