Noise-Robust Speech Recognition: A Comparative Analysis of LSTM and CNN Approaches-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Noise-Robust Speech Recognition: A Comparative Analysis of LSTM and CNN Approaches

Published:2023-11-28 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM)
language:
Short-container-title:

Author:

Djeffal Noussaiba¹,Addou Djamel¹,Kheddar Hamza²,Selouani Sid Ahmed³

Affiliation:

1. University of Sciences and Technology, USTHB,Speech and Signal Processing Laboratory,Algiers,Algeria

2. University of Medea,LSEA Laboratory,Dept. Electrical engineering,Medea,Algeria

3. Universite de Moncton,Research Laboratory in Human-System Interaction, Shippagan Campus,Shippagan,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419379/10419198/10419459.pdf?arnumber=10419459

Reference19 articles.

1. Particle Swarm Optimization to Improve Robustness of Distributed Speech Recognition

2. Deep Learning-and Transfer Learning-based Models for COVID-19 Detection using Radiography Images

3. The aurora experimental framework for the performance evaluation of speech recognition systems under noisy conditions;Hirsch

4. Improvement of MFCC feature extraction accuracy using PCA in Indonesian speech recognition

5. Arabic corpus implementation: Application to speech recognition

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey;Information Fusion;2025-01

2. Automatic speech recognition using advanced deep learning approaches: A survey;Information Fusion;2024-09

3. Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems;2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2024-04-24

4. Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives;IEEE Access;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3