Event Title

The Halo: Integrating Mathematics and Creativity

Loading...

Media is loading
 

Description

The goal of our Summer research project was to determine sound source location based upon time delay. Additionally, through utilizing mathematics and computer science, display our data in an artistic and creative manner. We utilized a six microphone array to determine time delay by sending data to a raspberry pi, a small single board computer. Through the computer language python, we created a program to determine the time delay between the microphones. By treating each set of data as vectors, we were able to analyze the similarity between the data, giving us the time delay between a pair of microphones. This time delay was used to divide a 2-dimensional space into 24 sections. These sections were set through triangulating an approximate sound source location with two opposing microphones. We are still conducting research, but our preliminary results show us that sound source location can be achieved through the raw data from a microphone array. However, the results can be further improved by adding additional microphones and spacing them out further to give greater level of accuracy in determining location.

This document is currently not available here.

Share

COinS
 

The Halo: Integrating Mathematics and Creativity

The goal of our Summer research project was to determine sound source location based upon time delay. Additionally, through utilizing mathematics and computer science, display our data in an artistic and creative manner. We utilized a six microphone array to determine time delay by sending data to a raspberry pi, a small single board computer. Through the computer language python, we created a program to determine the time delay between the microphones. By treating each set of data as vectors, we were able to analyze the similarity between the data, giving us the time delay between a pair of microphones. This time delay was used to divide a 2-dimensional space into 24 sections. These sections were set through triangulating an approximate sound source location with two opposing microphones. We are still conducting research, but our preliminary results show us that sound source location can be achieved through the raw data from a microphone array. However, the results can be further improved by adding additional microphones and spacing them out further to give greater level of accuracy in determining location.