yoojinl

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…

Training the voice tone analyzer Keep working on: Integrating the team’s parts together! Put everything on Github to share with team members Put everything on cloud

Additions to webapp, video streaming Reevaluated problem statement and goal through ethics assignment More tests with example voice tone analyzer using CNNs To Do: Journal recording storage on cloud Fix display bug for videos More Voice Tone Training

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…

This week was focused on gathering data, picking algorithms, and preprocessing/getting features of data Next week will be finishing gathering important features from data and starting to train.   SOW and Gantt Chart: The original web application was going to communicate with the RPi and receive textual journal entries of Read more…

This week was mainly focused on planning how to move forward with our project, what to keep and what to change. More details about this can be found below in my statement of work, but the main part is that I will have a new task in the project, speech Read more…