Releases: SuperKogito/SER-datasets
Releases · SuperKogito/SER-datasets
v4.0.0
- Add the following datasets: Aishell-3 dataset, MAFW dataset, OMG Emotion dataset, EMOVIE dataset, VESUS dataset, nEmo dataset, BEAT dataset, Dusha dataset, ASED dataset, B-SER dataset, CAVES dataset, EMNS dataset, Thorsten dataset, Morgan emotional speech set, EMOVOME dataset.
- Simplify contributions (only JSON editing is now required!!)
- Add workflows to automatically, verify JSON, update Readme and CSV files.
- Add workflows to automate deployment
- Update the contributions guide
v3.3.0
Added the following datasets:
- Hi, KIA dataset
- umoUERJ dataset
- subesco
- esccorpus
- kannada
- audio-sentiment dataset
- pmemo
(all of the above datasets were added by https://github.com/bagustris)
Updated generate_files.py:
- Adds information about Nkululeko and ERTK (SER toolkits) (added by https://github.com/bagustris)
Fix broken links and some formatting issues
v3.2.0
Added the following datasets:
- French Emotional Speech Database - Oréau
- THAI SER
- Att-HACK
- BEASC
- LSSED
- The Quechua-SER corpus (added by https://github.com/RosePY)
v3.1.0
v3.0.0
- Automate generation of .rst and .md files.
- Put all data in a unified json file.
- Use Python and bash to automate generation of all files.
v2.3.0
- Includes the MLEnd dataset.
- MLEnd Spoken Numerals: A dataset for intonation and diverse English speech recognition
v2.2.0
- Includes the VERBO dataset
- VERBO: Voice Emotion Recognition dataBase in Portuguese Language
v2.1.0
- Includes two new datasets:
- Mexican Emotional Speech Database (MESD).
- ASVP-ESD(Speech & Non-Speech Emotional Sound).
- Improved README.
- Fixed typos.
v2.0.0
- Changing structure and switching to using sphinx documentation tools
- Transforming the previous table into a searchable and sort-able table
- Updating some links and document/ paper information
- Updating the design
v1.0.0
- Version 1.0.0
- Mainly a markdown table using gh-pages
- Consists of 39 dataset.