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

• Add the SyntAct dataset.
• Automate the datasets counting specified in the README.

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.