Identification of Sounds Using Deep Learning with MFCC Features Extraction-Reference-Cited by-同舟云学术

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Identification of Sounds Using Deep Learning with MFCC Features Extraction

Published:2024-04-03 Issue: Volume:234 Page:60-64
ISSN:
Container-title:2024 IEEE AITU: Digital Generation
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Author:

M.R.M Veeramanickam¹,Ingavale Aniket²,Khullar Vikas³,Tirth Sneha S⁴,Pandey Bishwajeet⁵,Singh Harjit Pal⁶

Affiliation:

1. Universidad Nacional Mayor de San Marcos (UNMSM),Department of Software Engineering,Lima,Peru

2. School of Engineering and Technology, DES Pune University,Pune,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

4. Trinity College of Engineering and Research,Department of Computer Engineering,Pune,India

5. Astana IT University,Department of IS&CS,Astana,Kazakhstan

6. The University of West Indies,Faculty of Science and Technology,Department of Physics,St Augustine,Trinidad & Tobago

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585271/10585334/10585335.pdf?arnumber=10585335

Reference20 articles.

1. Convolutional Neural Networks for Speech Recognition

2. Environmental sound classification using temporal-frequency attention based convolutional neural network

3. A Survey on Deep Learning Based Forest Environment Sound Classification at the Edge

4. Deep learning methods for drug response prediction in cancer: Predominant and emerging trends

5. A survey of deep neural network architectures and their applications;Liu;Neurocomputing,2017

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