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 (speaker, microphone(s), A/D converter, etc...)
• Configure the microphone and Raspberry Pi so the microphone can communicate its analog output from the room
• Use the A/D converter to translate the analog signal from the microphone into a digital signal
• Program the Raspberry Pi to receive and analyze the digital signal
• Connect and code the Raspberry Pi to the speaker in order to adjust the volume as a result of the input signal

Challenges

• Learn how to program the Raspberry Pi using Python and skills from the tutorial videos
• Access and dissect coding libraries that may hold code that is useful but lies outside of our skill level
• Find and apply the Fast Fourier Transform to create sound profiles of the ambient noise and the speaker's music
• Establish a communication between the Raspberry Pi and the speaker
• Program Raspberry Pi to access a song/music database
• Work to develop an effective demo given the location, Lopata Gallery

Budget

• Raspberry Pi (Provided)
• Speaker ($10.99)
• Microphone ($9.99)
• A/D Converter ($3.75)