The effect of envelope pattern on the impression of sound quality

2002 ◽  
Vol 112 (5) ◽  
pp. 2372-2372 ◽  
Author(s):  
Sonoko Kuwano ◽  
Seiichiro Namba
Keyword(s):  
Sound Quality ◽  
Envelope Pattern

Relation between envelope pattern and sound quality of impulsive sounds.

1999 ◽  
Vol 20 (2) ◽  
pp. 151-153 ◽  
Author(s):  
Sonoko Kuwano ◽  
Seiichiro Namba ◽  
Kimiko Ohta ◽  
Hiroshi Takeda ◽  
Koichi Sato ◽  
...  
Keyword(s):  
Sound Quality ◽  
Envelope Pattern

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.

scholarly journals A new evaluation and prediction model of sound quality of high-speed permanent magnet motor based on genetic algorithm-radial basis function artificial neural network

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110311
Author(s):  
Kai Hu ◽  
Guangming Zhang ◽  
Wenyi Zhang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Basis Function ◽  
High Speed ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Average Error ◽  
Permanent Magnet Motor ◽  
Predicted Model

Sound quality (SQ) has become an important index to measure the competitiveness of motor products. To better evaluate and optimize SQ, a novelty SQ evaluation and prediction model of high-speed permanent magnet motor (HSPMM) with better accuracy is presented in this research. Six psychoacoustic parameters of A-weighted sound pressure level (ASPL), loudness, sharpness, roughness, fluctuation strength (FS), and perferred-frequency speech interference (PSIL) were adopted to objectively evaluate the SQ of HSPMM under multiple operating conditions and subjective evaluation was also conducted by the combination of semantic subdivision method and grade scoring method. The evaluation results show that the SQ is poor, which will have a certain impact on human psychology and physiology. The correlation between the objective evaluation parameters and the subjective scores is analyzed by coupling the subjective and objective evaluation results. The average error of multiple linear regression (MLR) model is 7.10%. It has good accuracy, but poor stability. In order to improve prediction accuracy, a new predicted model of radial basis function (RBF) artificial neural network was put forward based on genetic algorithm (GA) optimization. Compared with MLR, its average error rate is reduced by 3.16% and the standard deviation is reduced by 1.841. In addition, the weight of each objective parameter was analyzed. The new predicted model has a better accuracy. It can evaluate and optimize the SQ exactly. The research methods and conclusions of this paper can be extended to the evaluation, prediction, and optimization of SQ of other motors.

scholarly journals Speech Perception and Sound-Quality Rating with an Adaptive Nonlinear Frequency Compression Algorithm in Mandarin-Speaking Hearing Aid Users

2020 ◽  
Vol 31 (08) ◽  
pp. 590-598
Author(s):  
Li Xu ◽  
Solveig C. Voss ◽  
Jing Yang ◽  
Xianhui Wang ◽  
Qian Lu ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Hearing Aids ◽  
Detection Threshold ◽  
Sound Quality ◽  
Hearing Impaired ◽  
Nonlinear Frequency ◽  
Frequency Compression ◽  
Speech Reception ◽  
Quality Ratings ◽  
Phoneme Detection

Abstract Background Mandarin Chinese has a rich repertoire of high-frequency speech sounds. This may pose a remarkable challenge to hearing-impaired listeners who speak Mandarin Chinese because of their high-frequency sloping hearing loss. An adaptive nonlinear frequency compression (adaptive NLFC) algorithm has been implemented in contemporary hearing aids to alleviate the problem. Purpose The present study examined the performance of speech perception and sound-quality rating in Mandarin-speaking hearing-impaired listeners using hearing aids fitted with adaptive NLFC (i.e., SoundRecover2 or SR2) at different parameter settings. Research Design Hearing-impaired listeners' phoneme detection thresholds, speech reception thresholds, and sound-quality ratings were collected with various SR2 settings. Study Sample The participants included 15 Mandarin-speaking adults aged 32 to 84 years old who had symmetric sloping severe-to-profound sensorineural hearing loss. Intervention The participants were fitted bilaterally with Phonak Naida V90-SP hearing aids. Data Collection and Analysis The outcome measures included phoneme detection threshold using the Mandarin Phonak Phoneme Perception test, speech reception threshold using the Mandarin hearing in noise test (M-HINT), and sound-quality ratings on human speech in quiet and noise, bird chirps, and music in quiet. For each test, five experimental settings were applied and compared: SR2-off, SR2-weak, SR2-default, SR2-strong 1, and SR2-strong 2. Results The results showed that listeners performed significantly better with SR2-strong 1 and SR2-strong 2 settings than with SR2-off or SR2-weak settings for speech reception threshold and phoneme detection threshold. However, no significant improvement was observed in sound-quality ratings among different settings. Conclusions These preliminary findings suggested that the adaptive NLFC algorithm provides perceptual benefit to Mandarin-speaking people with severe-to-profound hearing loss.

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