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A Survey of Audio Classification Using Deep Learning

Published:2023 Issue: Volume:11 Page:106620-106649
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zaman Khalid¹^ORCID,Sah Melike²^ORCID,Direkoglu Cem³^ORCID,Unoki Masashi¹^ORCID

Affiliation:

1. Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, Nomi, Japan

2. Computer Engineering Department, Cyprus International University, Nicosia, North Cyprus, Turkey

3. Electrical and Electronics Engineering Department, Middle East Technical University, Northern Cyprus Campus, Kalkanli, Guzelyurt, Turkey

Funder

Grant-in-Aid for Transformative Research Areas

Grant-in-Aid for Challenging Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10258355.pdf?arnumber=10258355

Reference175 articles.

1. Multi-channel spectrograms for speech processing applications using deep learning methods

2. Speech mode classification using the fusion of CNNs and LSTM networks;vakkantula,2020

3. Inter-floor noise classification using convolutional neural network

4. Convolutional networks for images, speech, and time-series;lecun;The Handbook of Brain Theory and Neural Networks,1998

5. Transformers for Urban Sound Classification—A Comprehensive Performance Evaluation

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