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Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle
  Contours

Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours

18 May 2020
Pu Li
Xiaobai Liua
K. Palmer
Erica Fleishman
D. Gillespie
E. Nosal
Yu Shiu
Holger Klinck
Danielle M. Cholewiak
Tyler A. Helble
M. Roch
    MedIm
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Papers citing "Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours"

4 / 4 papers shown
Title
The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks
  Applied to Marine Bioacoustic Data
The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data
Georgia Atkinson
Nick Wright
A. Mcgough
Per Berggren
GAN
18
0
0
22 Dec 2023
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency
  Spectrograms
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Pu Li
M. Roch
Holger Klinck
Erica Fleishman
D. Gillespie
E. Nosal
Yu Shiu
Xiaobai Liu
16
6
0
05 Apr 2023
Automated Detection of Dolphin Whistles with Convolutional Networks and
  Transfer Learning
Automated Detection of Dolphin Whistles with Convolutional Networks and Transfer Learning
Burla Nur Korkmaz
R. Diamant
Gil Danino
Alberto Testolin
11
13
0
28 Nov 2022
Computational bioacoustics with deep learning: a review and roadmap
Computational bioacoustics with deep learning: a review and roadmap
D. Stowell
32
235
0
13 Dec 2021
1