Vybz

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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

Gantt Chart

Budget

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


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