Speech Emotion Recognition

[et_pb_section fb_built=”1″ _builder_version=”3.22″][et_pb_row _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”]This repository contains scripts for processing various emotional speech datasets, and training machine learning models on these datasets.

github: https://github.com/Broad-AI-Lab/emotion

Datasets

Currently the following datasets are supported, along with their respective directories in the datasets directory:

• cafe – CaFE
• crema-d – CREMA-D
• demos – DEMoS
• emodb – EMO-DB
• emofilm – EmoFilm
• enterface – eNTERFACE
• iemocap – IEMOCAP
• jl – JL-corpus
• msp-improv – MSP-IMPROV
• portuguese – Portuguese corpus
• ravdess – RAVDESS
• savee – SAVEE
• semaine – SEMAINE
• shemo – ShEMO
• smartkom – SmartKom
• tess – TESS

Some of these datasets, (e.g. IEMOCAP), have more specific preprocessing scripts that must be run before the general preprocessing scripts, in order to generate the annotations, transcripts, etc.
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