Yoojin’s Status Report for 4/26/20

Trained 4 models, male/female positive/negative emotion classification models and male/female multi-emotion classification models multi-emotion classification models perform poorly, so will be using binary classification instead Combined text and tone analysis Moved nets to cloud (but still need to work on getting it hooked up with the web app) Web app Read more…

Yoojin’s Status Report for 4/4/20

Changed the program I’m using to get pitch and other features; no longer using Praat because it takes too long and is inefficient; using the python Librosa library instead (documentation here https://librosa.github.io/librosa/) Testing out example voice tone analyzer using CNNs; one project claims to have reached 70% accuracy Next week: Prepare Read more…

Team Status Report for 4/4/20

This week we just continued working on our individual components of our project. Patrick continued training with images from AffectNet. Vinay continued training and working on the LSTM for sentiment analysis. Yoojin found a paper that detailed a CNN for tone recognition and collected the libraries and documentation to start Read more…

Team Status Report for 3/28/20

This week: Talked about our progress so far, cleaned up end goals and worked on SOW Revised our team Gantt chart together Next week: All of us should have made significant process on our individual portions Start discussing bringing the algorithms together