Difference between revisions of "Vybz"
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== Materials/Budget == | == Materials/Budget == | ||
| − | + | * Raspberry Pi (Provided) | |
| + | * Speaker | ||
| + | * Microphone | ||
| + | * A/D Converter | ||
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Revision as of 20:32, 2 February 2018
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
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
Materials/Budget
- Raspberry Pi (Provided)
- Speaker
- Microphone
- A/D Converter
