Dalia Sherman's repositories
Speech-Emotion-Recognition-using-BLSTM-with-Attention
We present a study of a neural network based method for speech emotion recognition, using audio-only features. In the studied scheme, the acoustic features are extracted from the audio utterances and fed to a neural network that consists of CNN layers, BLSTM combined with an attention mechanism layer, and a fully-connected layer. To illustrate and analyze the classification capabilities of the network we used the t-SNE method. We evaluated our model using RAVDESS and IEMOCAP databases.
Generating-Facial-Expressions-Bidirectional-Conditional-GAN
Applying Bidirectional Conditional GAN model on the FER2013 dataset which consists of 35340 examples, 48x48 pixel grayscale images of faces, classified into six emotions: Angry, Fear, Happy, Sad, Surprised, Neutral.
github-slideshow
A robot powered training repository :robot:
Medical-QA-system
An end-to-end RAG projec of the LLM zoomcamp