Speech dataset resources: Difference between revisions

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=== Notes on LibriSpeech ===
=== Notes on LibriSpeech ===


* We only used the test set to test our ASR code in Python;
* We only used the development 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;
* The names of the speakers who recorded all the audiobooks contained in this corpus are also available in a separate text file;
* All the information on this dataset can be found in [http://www.danielpovey.com/files/2015_icassp_librispeech.pdf this article];
* Exhaustive information about this dataset can be found in [http://www.danielpovey.com/files/2015_icassp_librispeech.pdf this article];

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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* this means: you may also add additional pages and link to them in this table

Notes on LibriSpeech

  • We only used the development 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 in a separate text file;
  • Exhaustive information about this dataset can be found in this article;