Speech dataset resources

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.
x
x
x
x

* 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;