Samuel Oladejo

speech-emotion-recognition

In this project, we will use Convolution Neural Networks to detect Emotions in Conversations. To train our model and analyze the acoustic features of the audio data recording, we will exclusively use English audio datasets from the MSP Podcast Corpus, CREMA-D, Toronto emotional speech set (TESS), and Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS). We plan to identify the following emotions: happiness, sadness, neutral, anger, disgust, and fear. Given the increasing levels of sadness in the midst of the covid-19, our long-term goal is to expand this project as a tool to be used in a voice-based assistant on a suicide prevention hotline.

Jupyter Notebook • 1 star

MiniHack-the-Planet

Wits Computer Science Honours Reinforcement Learning Project

Python

dqn-atari

This repo is focused on the implementation of the Deep Q-Learning (DQN) agent to play Atari games. For this we use the Pong environment which are contained within the OpenAI Gym Atari package.

Jupyter Notebook

robot-navigation

Python