Vybz

Overview

Our goal is to create a sound system that self-adjusts its output in response to the amount of noise in the room. This is an efficient way for a sound system to adapt to conversations, the environment, and other noises without the need for manual work. This application will consist of three main components: A microphone to gauge the level of noise in the room, a Raspberry Pi to analyze data and send signals to the speaker, and a speaker which produces the necessary output. It will maintain the atmosphere in the room and conserve the vibe of the room.

Link to log: https://classes.engineering.wustl.edu/ese205/core/index.php?title=Vybz_Log

Team Members

• Daniel Li
• Isaac Thomas-Markarian
• Benjamin van der Sman
• TA: Sam Chai
• Instructor: Dennis Mell

Objectives

• Gather resources (microphones and speakers)
• Program Raspberry Pi
• Connect microphones and speakers to Raspberry Pi
• Code algorithm using Machine Learning techniques

Challenges

• Learn to program Raspberry Pi
• Connecting the Raspberry Pi to speakers and microphones
• Program Raspberry Pi to access music
• Filtering speaker noise from noise in the room

Materials/Budget

• Raspberry Pi (Provided)
• Speaker
• Microphone
• A/D Converter