TEAM MEMBERS

CONTRIBUTIONS

Nolan Kosnic: Nolan mostly dealt with all things filtering. He implemented the initial low pass and band pass filters, and wrote the program to create new, filtered .wav files using notch filters at the fundamental frequencies of each song. He also worked to use phase inverting to isolate the vocals.

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Anand Seetharaman: Anand initially worked on using low level filtering techniques such as low-pass, high-pass, bandpass filtering, and phase inverting. As that work was delegated to Nolan he helped create the machine-learning classification algorithm mainly working on Support Vector Machine

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Ross Richards: Ross mainly worked on fingerprinting and decision tree classification for this project. Ross created all of the scripts related to fingerprinting and decision trees. Ross also worked on finding fundamental frequencies during the preliminary stages of the project.

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Jacob Blosser: Jacob dealt primarily with the classifiers used in the project. Specifically the KNN classifier for the final model, as well as creating the demo files for the deliverables. He also helped collect data throughout the project timeline. Early on he was also involved with attempting to remove the accompaniment from the audio using AI.

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Atharv Relekar: Atharv was involved in collecting the data used for the project. He also assisted in experimenting with some of the initial filtering techniques our group tried such as the bandpass and notch filters. He also wrote the readme for our project and including a lot of the content on the website.