Wind Noise Sound Quality

1995 ◽  
Author(s):  
Norman Otto ◽  
Ben John Feng
Keyword(s):  
Sound Quality ◽  
Wind Noise

Perception of stationary wind noise in vehicles

2021 ◽  
Vol 69 (1) ◽  
pp. 53-65
Author(s):  
Daniel Carr ◽  
Patricia Davies
Keyword(s):  
Wind Tunnel ◽  
Sound Quality ◽  
Quality Metrics ◽  
Aerodynamic Noise ◽  
Road Noise ◽  
Wind Noise ◽  
Listening Studies ◽  
Signal Modification ◽  
Made In

Predictors of people's responses to noise inside cars are used by car companies to identify and address potential noise problems from tests. Because significant improvements have been made in engine, powertrain, and tire/road noise, it is now important to pursue improvements in wind or aerodynamic noise. While models of loudness are commonly used to predict people's responses to stationary wind noise, some wind noises are less acceptable than is predicted by loudness metrics. Additional sound characteristics may account for this. Three listening studies were designed to examine the usefulness of including additional sound quality metrics with loudness in models used to predict acceptability for stationary wind-noise sounds. Test sounds were based on recordings made in cars in a wind tunnel. Signal modification techniques were developed to decorrelate metrics across a set of sounds and to examine how acceptability changes with strengths of particular sound characteristics. Models of acceptability for stationary wind noise are significantly improved when a metric that predicts the sharpness of a sound is included in the model with the loudness metric.

scholarly journals Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality

2018 ◽  
Vol 22 ◽  
pp. 233121651877096 ◽  
Author(s):  
Mahmoud Keshavarzi ◽  
Tobias Goehring ◽  
Justin Zakis ◽  
Richard E. Turner ◽  
Brian C. J. Moore
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Speech Intelligibility ◽  
Sound Quality ◽  
Wind Noise ◽  
Noise Effects ◽  
Deep Recurrent Neural Network

Sound quality analysis for two-way radio under wind noise

2013 ◽  
Author(s):  
Mohd Khairul Rabani Hashim ◽  
Norilmi Amilia Ismail ◽  
Abdullah Aziz Saad ◽  
Ping Yi Chan ◽  
Ummi Masyitah Mohd Fisol ◽  
...  
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Wind Noise

Heavy commercial vehicles sound quality database system design

2013 ◽  
Author(s):  
Yinhan Gao ◽  
Wenzhi Wu ◽  
Jie Liang ◽  
Litong Zhang ◽  
Kun Qian ◽  
...  
Keyword(s):  
System Design ◽  
Sound Quality ◽  
Database System ◽  
Commercial Vehicles

Reassessing gender in Ogbe-Oloma

2021 ◽  
Vol 74 (2) ◽  
pp. 387-403
Author(s):  
Ronald P. Schaefer ◽  
Francis O. Egbokhare
Keyword(s):  
Sound Quality ◽  
Form Class ◽  
Nominal Form ◽  
Grammatical Number ◽  
Gender System

Abstract We re-assess the gender system of Ogbe-Oloma, an Edoid village variety of Nigeria. System exponents are prefixes that define form class and reflect grammatical number. We find that eight agreement classes undergird fourteen genders, while seventeen nominal form classes frame twenty-five number inflections. Prefix mapping from inflection to gender is non-isomorphic. Mapping is however constrained by syllable shape, CV- versus V-, and alliterative sound quality of prefix consonant, not vowel. In addition, several number inflections trigger agreement in multiple genders leading to one gender that exclusively refers to nouns with human reference.

scholarly journals Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis

2021 ◽  
Vol 11 (10) ◽  
pp. 4385
Author(s):  
Kun Qian ◽  
Zhichao Hou ◽  
Jie Liang ◽  
Ruixue Liu ◽  
Dengke Sun
Keyword(s):  
Electric Vehicles ◽  
Sound Quality ◽  
Interior Noise ◽  
Experimental Comparison ◽  
Noise Component ◽  
Acoustic Environment ◽  
Evaluation Indexes ◽  
Transfer Path ◽  
New Ideas ◽  
Path Synthesis

The interior sound quality (SQ) of pure electric vehicles (PEVs) has become an important consideration for users purchasing vehicles. At present, it is insufficient to take the sound pressure level as the interior acoustics design index of PEVs. Transfer path analysis (TPA) and transfer path synthesis (TPS) that take the SQ of interior noise as the improvement target remains in the preliminary exploration stage. In this paper, objective psychoacoustic parameters of SQ were taken as evaluation indexes of interior PEV noise. A virtual interior SQ synthesis model was designed on the basis of TPA and TPS, which combines experimentation and simulation. The SQ synthesis model demonstrates each noise component contribution in a PEV by new SQ separation technology. First, the interior noise transfer path and noise source of the PEV were determined in a synthesis analysis method of the interior PEV noise. Second, on the basis of the composition mechanism of interior noise and the basic principle of TPA, the excitation signal and transfer function of each interior noise path in the PEV were tested. On the basis of TPS, the interior SQ synthesis model of PEV was then established. Finally, the accuracy of the prediction model was verified in simulation and experimental comparison studies on the psychoacoustic objective parameters of SQ. The SQ objective parameter value of each transfer path was quantified by using contribution analysis. The results are expected to improve the comfort of the interior acoustic environment and enhance the competitiveness of vehicle products. They also provide an effective reference and new ideas for the development of interior SQ in PEVs.

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