Sound quality prediction of vehicle interior noise using deep belief networks-Reference-Cited by-同舟云学术

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Sound quality prediction of vehicle interior noise using deep belief networks

Published:2016-12 Issue: Volume:113 Page:149-161
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Huang Hai B.,Huang Xiao R.,Li Ren X.,Lim Teik C.,Ding Wei P.

Funder

Chinese National Science Foundation

Key Science and Technology Research Program in Sichuan Province, China

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference54 articles.

1. The sound quality of vehicle interior noise: a challenge for the NVH-engineers;Genuit;Int J Vehicle Noise Vibrat,2004

2. A sound quality model for objective synthesis evaluation of vehicle interior noise based on artificial neural network;Wang;Mech Syst Signal Process,2014

3. Sound quality evaluation of vehicle suspension shock absorber rattling noise based on the Wigner–Ville distribution;Huang;Appl Acoust,2015

4. A new test track for automotive squeak and rattle (S&R) detection;Johnsson;Appl Acoust,2014

5. Objective evaluation of interior noise booming in a passenger car based on sound metrics and artificial neural networks;Lee;Appl Ergon,2009

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