GitHub

xJiang30/Speech-Emotion-Recognition-using-LSTM

Speech emotion recognition base on Long Short-Term Model (LSTM), implemented in tensorflow. The system improve the accuracy of emotion recognition while maintaining lightweight through feature ...
IEEE

A Case Study: FMG-based Gesture Recognition using High-Density Piezoelectric Electronic Skin and Machine Learning

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...
IEEE

Enhancing Speech Emotion Recognition Using Self Supervised Learning and Transformer-Based Models

Abstract: Speech emotion recognition (SER) plays a crucial role in various applications, such as human-computer interaction and mental health monitoring. This paper proposes a novel Emotion-Aware ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...