Speech dataset resources: Difference between revisions

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|LibriSpeech
|LibriSpeech
|audio books (clean)
|audio books (clean)
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|Text is converted into upper-case, removed punctuation, expanding common abbreviations and non-standard words.
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|Creative Commons Attribution 4.0 International License.
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|The dataset is splitted into 3 sections with 100.6, 363.6, 496.7 hours of speech.
|
|Dataset is made by Vassil Panayotov.
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|-
|x
|x

Revision as of 09:22, 27 September 2023

This table summarizes dataset resources available

Note: You have editing rights to the table, so you can edit/adjust it to your needs*. Your instructors will clean it up afterwards.

Dataset name Type of data Annotation remarks License Metadata Name/s of people who are entering the data
LibriSpeech audio books (clean) Text is converted into upper-case, removed punctuation, expanding common abbreviations and non-standard words. Creative Commons Attribution 4.0 International License. The dataset is splitted into 3 sections with 100.6, 363.6, 496.7 hours of speech. Dataset is made by Vassil Panayotov.
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x
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* this means: you may also add additional pages and link to them in this table

Notes on LibriSpeech

  • We only used the test set to test our ASR code in Python;
  • The names of the speakers who recorded all the audiobooks contained in this corpus are also available;
  • All the information on this dataset can be found in this article;