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 The transcriptions are aligned and segmented automatically.	Creative Commons Attribution 4.0 International License.	The dataset is split into 3 sections with 100.6, 363.6, 496.7 hours of speech The gender ratio of speakers is about half and half.	Dataset is made by Vassil Panayotov. Guoguo Chen , Daniel Povey , Sanjeev Khudanpur are also contributed to the dataset and article below.
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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;
• This dataset was included in the Kaldi speech recognition toolkit.