/Speech_Emotion_Recognition_Thesis

Code developed during my thesis on speech emotion recognition.

Primary LanguageJupyter NotebookMIT LicenseMIT

Speech Emotion Recognition Thesis

This repository contains some of the work developed during my software engineering master's. Initially for a research grant, and later for my dissertation as well.

The area of this work is Speech Emotion Recognition (SER). If you intend to develop something in this area, I advise you to go through my dissertation and some presentations present in the folder Thesis_Mario_Silva, to have an overview of what this repository contains, as the process of tackling SER problems, from start to finish, is present within this repository.

Also, from this thesis a set of SER Tools was developed, such as machine learning models and an audio pipeline to process audio, online or offline time, to be used for SER classifications.