Speech dataset resources: Difference between revisions
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|Text is converted into upper-case, removed punctuation, expanding common abbreviations and non-standard words. | |Text is converted into upper-case, removed punctuation, expanding common abbreviations and non-standard words. | ||
|Creative Commons Attribution 4.0 International License. | |Creative Commons Attribution 4.0 International License. | ||
|The dataset is | |The dataset is split into 3 sections with 100.6, 363.6, 496.7 hours of speech. | ||
|Dataset is made by Vassil Panayotov. | |Dataset is made by Vassil Panayotov. | ||
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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 split 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;