The evaluation of automobile interior acceleration sound fused with physiological signal using a hybrid deep neural network-Reference-Cited by-同舟云学术

The evaluation of automobile interior acceleration sound fused with physiological signal using a hybrid deep neural network

Published:2023-02 Issue: Volume:184 Page:109675
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Xie Liping^ORCID,Lu Chihua,Liu Zhien^ORCID,Chen Wan,Zhu Yawei,Xu Tao

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference72 articles.

1. Listener clustering and subject assessment of car interior noise quality;Fenglei;Technical Acoustic,2006

2. What is sound quality;Gade;Bruel & Kjaer Magazine,2007

3. Product-sound design and assessment: An enigmatic issue from the point of view of engineering?;Blauert;Inter. Noise Noise Con. Cong. Conf. Proc.,1994

4. The analysis methods and evaluation procedure of vehicle sound quality;Nianping;Autom. Eng.,2007

5. A sound quality customization system using paired comparison;Shimizu,2009

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