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Pre-processing spectrogram parameters improve the accuracy of bioacoustic classification using convolutional neural networks
Download2021-06-01
Knight, Elly C., Hernandez, Sergio Poo, Bayne, Erin, Bulitko, Vadim, Tucker, Benjamin V.
A variety of automated classification approaches have been developed to extract species detection information from large bioacoustic datasets. Convolutional neural networks (CNNs) are an image classification technique that can be operated on the spectrogram of an audio recording. Using CNNs for...
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2002
Fortin, David, Antoniu, Angela, Sardarli, Arzu, Rezania, Vahid, Levner, Ilya, Bulitko, Vadim
Technical report TR02-14. The 2002 Quantum Computing Summer School (QCSS'02) at the University of Alberta was organized as a learning and discussion forum for researchers in Artificial Intelligence, Computer Science, Physics, Mathematics, and Engineering. The short-term objective was to introduce...
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2017-01-25
SSHRC Awarded IDG 2017: The expansion of video games as a medium has precipitated a healthy indie game movement, and created opportunities for media artists to explore interactive art creation. However, audio and music in games is still primarily constrained to sound effects, dialog and emotive...