Novel Engine Sound Quality Evaluation Method in Bench Testing

2021 ◽  
Author(s):  
Yang Tan ◽  
Jingling Yang
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Sound Quality ◽  
Bench Testing

An Insect Song Signal Feature Extraction Method Based on the Wavelet Packet Analysis

2013 ◽  
Vol 423-426 ◽  
pp. 2614-2617
Author(s):  
Jun Xie ◽  
Hong Wei Wang ◽  
Mei Zhao ◽  
Kai Yu Yang
Keyword(s):  
Feature Extraction ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Wavelet Packet ◽  
Correlation Coefficients ◽  
Sound Quality ◽  
Signal Frequency ◽  
Feature Extraction Method ◽  
Frequency Decomposition ◽  
Cricket Song

The wavelet packet decomposition method was used to two common insects song signal. Frequency decomposition and feature extraction were made, the feature vectors, eigenvalues and the sound quality evaluation parameter vectors were constructed, then the correlation analysis calculation were made between the eigenvalues and the sound quality evaluation parameter vectors. The results show that the correlation coefficients are good, the average correlation coefficients of cricket and grasshopper song signals are 0.8875 and 0.6942, the results of cricket is much better than grasshopper, it proved that the proposed algorithm is more suitable for cricket song signals analysis, a new and effective sound quality evaluation method for typical insect with friction sound mechanism is provided.

Sound quality evaluation for luxury refrigerator door closing sound

2021 ◽  
Vol 263 (5) ◽  
pp. 1845-1854
Author(s):  
Kanta Imamori ◽  
Atsuya Yoshiga ◽  
Junji Yoshida
Keyword(s):  
Regression Analysis ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Low Frequency ◽  
Sound Quality ◽  
Subjective Test ◽  
Two Factors

In this study, we carried out subjective evaluation tests employing 19 refrigerator door closing sounds to quantify the luxury feeling. By applying factor analysis to the subjective evaluation results, the sound quality of the refrigerator door closing sound was found to be expressed by the following two factors: overall loudness and the pitch of the sound. Subsequently, luxury feeling evaluation model was obtained through multiple regression analysis. As the result, the luxury feeling of the door closing sound was evaluated to be high when the sound was softer and had lower pitch. Then, we prepared several luxury door closing sounds according to the obtained evaluation model through a filter processing and conducted subjective evaluation tests again to verify the evaluation model. The result shows that the amplitude increased sound at low frequency band under 100 Hz, which was calculated to be high luxury by the evaluation model, was actually evaluated as the best among the presented sounds through the subjective test. And the luxury sound quality evaluation method was confirmed to be useful to quantify and estimate the sound quality of the refrigerator door closing sound.

Sign in / Sign up

Export Citation Format

Share Document