This week the team finished the design report. Ellen and Mitchell worked on setting up the website using the Django framework, and also on connecting to the AWS Server to access the database. Cambrea worked on the raspberry pi system which set up the threads for audio IO, audio processing and audio streaming to server on the raspberry pi.
Our biggest risk now for our project is that our denoising will have a negative impact on the audio stream and negatively affect the clarity of the audio and the transcript generation. We are planning on using the background noise in the room(when there are no voices) to create a noise file that we will use to denoise the signal. Our current approach is to create this file during the meeting using the extraneous noise from the beginning of the meeting. There could be a problem with this approach since the noise in the beginning wouldn’t necessarily represent the noise throughout the meeting. But we are starting with this approach for now and we will test the result. Alternatively we will focus more on filtering the audio to remove noise.
We haven’t changed the design of our project.
A change in the schedule is that the task of mic initialization backend was reassigned to Ellen.