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The Reflector, March 2021
Education Society and Signal Processing Society – 1:00PM, Wednesday, March 24
IEEE BTS Webcast: Classification of Audio Quality Using Machine Learning and Artificial Intelligence Speaker:
Tyler Morris, Tufts Graduate School of Electrical Engineering, Undergraduate WPI Electrical and Computer Engineering
Tyler Morris is a 22-year-old Engineer from Boston, Massachusetts who is currently completing his Masters of Electrics Engineering at Tufts Graduate School in The field of Audio Engineering has long relied on finely Spring 2021 and received his Bachetuned ears of experts to accomplish the task of deterlor’s Degree in Electrical and Computer mining proper microphone location, thus maximizing Engineering from WPI. At Tufts, Morris audio quality. As home studio applications become inhas been working closely with Dean Dr. creasingly popular, the need for a consumer solution is more apparent than ever. Meanwhile, the fields of Panetta to combine the field of Machine Learning with Machine Learning and Artificial Intelligence have in re- Morris’ passion, Audio Engineering. cent years been responsible for tackling many diverse problems that were previously thought to be near im- Morris has designed audio effects for the likes of Joe possible. With a recent worldwide pandemic increas- Bonamassa, Conan O’Brien, Brad Whitford (Aeroing the demand for quality home audio applications, the smith), Elliot Easton (The Cars), Brian May (Queen), authors of this paper have decided to investigate audio Warren Haynes and others. Tyler Morris Designs (TMD) quality and determine if it is possible for non-human just released their consumer line of pedals with press ears to classify and quantify an audio recording’s sound releases from Premier Guitar, Guitar World and Music as “good” or “bad”. While Machine Learning and Artifi- Radar. Also a notable musician, Morris has performed cial Intelligence have been used before in some audio with music industry notables including Sammy Hagar, applications, they have never been used in the manner Steve Vai, Walter Trout, Christone “Kingfish” Ingram, that the author is proposing, which is to quantify audio Ronnie Earl, Yngwie Malmsteen, Leslie West, Robben recording quality. In this paper, the authors will discuss Ford, Ronnie Montrose and many others. Morris is an similar research that has been conducted, recall their endorsed artist by Gibson Guitars, Marshall Amps, Fishdevelopment of a unique approach to solve the prob- man and many other companies, aiding them in promolem, analyze experiments that were performed in order tion and design of new innovative musical products. to extract features from collected data, compare and contrast multiple methods of classifying test data and, Lastly, Tyler Morris has released four internationally acfinally, discuss future applications of this research that claimed albums, with the most recent, “Living in The Shadows”, debuting at #3 on the Billboard and iTunes extend to many fields. Blues Charts. His passion for Engineering, music and Tyler Morris, Tufts Graduate School of Electrical Engi- audio has allowed him to succeed in numerous innovaneering, Undergraduate WPI Electrical and Computer tions developed from his unique drive and passion. Engineering. Registration: https://bts.ieee.org/educational-programs/webinars-and-podcasts.html
