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DTSTART:20181104T020000
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UID:calendar.348391.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215154Z
CREATED:20181210T202956Z
DESCRIPTION:Committee:  Drs. John Gallagher\, Advisor\, Mateen Rizki\, and 
 Thomas WischgollABSTRACT:Classification of environmental scenes and detect
 ion of events in one's environment from audio signals enables to create\, 
 better-planning agents\, intelligent navigation systems\, pattern recognit
 ion systems\, and audio surveillance systems. This thesis will explore the
  use of Convolutional Neural Networks(CNN'S) with Spectrograms and raw aud
 io waveforms as inputs\, and Deep Neural Networks with hand engineered fea
 tures extracted from large-scale feature extraction schemes to identify th
 e acoustic scenes and events. The first part focuses on building an audio 
 pattern recognition system capable of detecting the presence zero\, one\, 
 or two DJI phantoms in the scene within the range of a stereo microphone. 
 The ability to distinguish the presence multiple UAV's could be used to au
 gment information from other sensors less making of cleanly making such a 
 determination. The second part of the thesis focuses on building an acoust
 ic scene detector to Task1a in the DCASE2018 challenge. In both cases\, th
 is document will explain the preprocessing techniques\, CNN and DNN archit
 ectures\, data augmentation methods including the use of Generative Advers
 arial Network’s(GAN's)\, and performance results compared to existing benc
 hmarks when available. This thesis will conclude with a discussion of how 
 one might expand the techniques in the construction of commercial off the 
 shelf audio scene classifier for multiple UAV detections. 
DTSTART;TZID=America/New_York:20181214T150000
DTEND;TZID=America/New_York:20181214T170000
LAST-MODIFIED:20181210T210723Z
LOCATION:304 Russ Engineering
SUMMARY:Masters Thesis Defense “Multiple Drone Detection and Acoustic Scene
  Classification with Deep Learning” By Hari Charan Vemula
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 multiple-drone-detection-acoustic-scene-classification-deep-learning%E2%80
 %9D
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