Deep Convolutional Neural Networks for the Classification and Detection of Human Vocal Exclamations of Panic in Subway Systems-Reference-Cited by-同舟云学术

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Deep Convolutional Neural Networks for the Classification and Detection of Human Vocal Exclamations of Panic in Subway Systems

Published:2023 Issue: Volume:11 Page:59417-59427
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Huang Yo-Ping¹^ORCID,Mushi Richard¹^ORCID

Affiliation:

1. Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan

Funder

National Science and Technology Council, Taiwan

Acer Group Research Project

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/ielx7/6287639/10005208/10148981.pdf?arnumber=10148981

Reference29 articles.

1. Environment Sound Event Classification With a Two-Stream Convolutional Neural Network

2. Sensor signal preprocessing techniques for analysis and prediction

3. Classification of Cough Sounds Using Spectrogram Methods and a Parallel-Stream One-Dimensional Deep Convolutional Neural Network

4. On preprocessing of speech signals;keerio;Int J Signal Process,2009

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