Marine Acoustic Signature Recognition Using Convolutional Neural Networks

Guilherme Vaz; A. C. M. Correia; Miguel Vicente; João M. C. Sousa; Erica Cruz; Benedicte Dommergues

doi:10.2139/ssrn.4119910

ScienceGate Book Chapters

JOURNAL ARTICLE

Marine Acoustic Signature Recognition Using Convolutional Neural Networks

Guilherme Vaz A. C. M. Correia Miguel Vicente João M. C. Sousa Erica Cruz Benedicte Dommergues

Year: 2022 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4119910

Get Full-Text PDF Get Analytical Report

Keywords:

Spectrogram Underwater Computer science Convolutional neural network Classifier (UML) Bioacoustics Pattern recognition (psychology) Noise (video) Speech recognition Artificial intelligence Geology Oceanography Telecommunications

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Speech and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Animal Vocal Communication and Behavior

Life Sciences → Biochemistry, Genetics and Molecular Biology → Developmental Biology

Marine Acoustic Signature Recognition Using Convolutional Neural Networks

Metrics

Citation History

Topics

Related Documents

Marine Objects Recognition Using Convolutional Neural Networks

Underwater acoustic target recognition using graph convolutional neural networks

Acoustic event recognition using cochleagram image and convolutional neural networks

Acoustic-based LEGO recognition using attention-based convolutional neural networks

Recognition of marine seismic data features using convolutional neural networks