Difference between revisions of "Vybz"
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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. | 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: [[Vybz_Log|https://classes.engineering.wustl.edu/ese205/core/index.php?title=Vybz_Log]] | ||
== Team Members == | == Team Members == | ||
* Daniel Li | * Daniel Li | ||
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[[Category:Projects]] | [[Category:Projects]] | ||
[[Category:Spring 2018 Projects]] | [[Category:Spring 2018 Projects]] |
Revision as of 19:32, 29 January 2018
Contents
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