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, flac format)	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.	Language: English 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.
Hugging Face
LibriVoxDeEn	Audio based on audio books (.wav file format) German text and English translation (.tsv file format)		Creative Commons Attribution 4.0 Non-Commercial ShareAlike Internation License	German audio and transcription, with English translation. >100 hours of audio material and >50k parallel sentences. Quality of audio and text has been evaluated manually.
https://github.com/jim-schwoebel/voice_datasets				This corpus contains 616,767 spoken captions from MSCOCO's val2014 and train2014 subsets
SAF (Short Answer Feedback Dataset)	based on audio books (.wav		CC BY-SA
https://zenodo.org/record/4282267
ASR-ETELECSC			MAGIC DATA OPEN-SOURCE LICENSE	5.04 hours of transcribed English conversational speech beyond telephony

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

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.

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