A machine learning project that aims to classify various emotional states of a human based on audio recordings using the CREMA-D dataset
Emotion and Voice Detection using Machine Learning Python Project. This Project about to detect human Voice and Facial emotion
👩🏿💻IIIT Hyderabad Reasearch Teaser Programme : We developed a robust emotion😃 recognition system utilizing machine learning techniques on the 🗣️CREMA-D dataset to classify various emotions expressed in audio recordings🎙️ accurately.
Speech Emotion Recognition (SER) using the CREMA-D dataset.
Implementing a Speech Emotion Recognition (SER) system using deep learning. It extracts audio features from the CREMA-D dataset and trains both 1D and 2D Convolutional Neural Networks (CNNs) to classify emotions from speech.
A project to classify emotions like happiness, sadness, and anger from speech using MFCCs, machine learning models, and visualizations for audio features and model performance.
An attempt at the speech emotion recognition (SER) task on the CREMA-D dataset using TensorFlow 1D & 2D RCNN models.
Emotion Recognition from Audio (ERA) is an innovative project that classifies human emotions from speech using advanced machine learning techniques.
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