HIGHLIGHTS
- who: Ivan Kiskin from the Department of Engineering Science, University of Oxford, Oxford, UK have published the research work: Bioacoustic detection with wavelet-conditioned convolutional neural networks, in the Journal: (JOURNAL)
- what: The authors show that convolutional neural networks (CNNs) operating on wavelet transformations of audio recordings demonstrate superior performance over conventional classifiers that utilize handcrafted features. The authors show that features handcrafted for a particular dataset do not generalize well to other datasets. The authors focus on bioacoustic classification, with a particular emphasis on mosquito detection. As part of showcasing the methods developed for . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.