Difference between revisions of "Vybz"

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== Overview ==
 
== Overview ==
We are dedicated to creating a speaker that self-adjusts its output in response to the amount of noise in the room. This is an easy way for a sound system to adapt to conversations, the environment, and other noises without the need for manual work. It will maintain the atmosphere in the room and conserve the vibe of the room.  
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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.  
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== Team Members ==
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* Daniel Li
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* Isaac Thomas-Markarian
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* Benjamin van der Sman
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* TA: Sam Chai
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== Objectives ==
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* Gather resources (microphones and speakers)
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* Program Raspberry Pi
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* Connect microphones and speakers to Raspberry Pi
 +
* Code algorithm using Machine Learning techniques
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== Challenges ==
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* Learn to program Raspberry Pi
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* Connecting the Raspberry Pi to speakers and microphones
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* Program Raspberry Pi to access music
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* Filtering speaker noise from noise in the room
  
 
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Revision as of 19:32, 29 January 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.

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


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