Spectrograms of baleen whale records synthesized from Autoenconder architectures: CAE, VAE and CAE-LSTM

• Published in: Elektron
• Main Authors: Cabedio, María Celeste, Carnaghi, Marco
• Format: Article in Journal/Newspaper
• Language: Spanish
• Published: FIUBA 2022
• Subjects: Convolutional autoencoders; recursive layers; spectrograms; underwater sound; synthesis; Autoencoders convolucionales; Capas recursivas; espectrogramas; sonidos subcuáticos; síntesis; Baja; Ballenas; Vae; baleen whale; baleen whales
• Online Access: http://elektron.fi.uba.ar/index.php/elektron/article/view/167; https://doi.org/10.37537/rev.elektron.6.2.167.2022

In this paper, different architectures of simple convolutional networks are analyzed to generate synthetic spectrograms corresponding to baleen whales. Simplicity in these models plays an important role in the implementations of these type of networks on embedded systems. In addition, the scarcity o...