Optimum order spectrum profiles for improvement of sound quality of car interior noise

2013 ◽  
Vol 61 (6) ◽  
pp. 578-589 ◽  
Author(s):  
Sung-Hwan Shin ◽  
Takeo Hashimoto
Keyword(s):  
Sound Quality ◽  
Interior Noise ◽  
Order Spectrum ◽  
Optimum Order

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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