Correlations between sound field characteristics and subjective ratings on reproduced music sound quality

1989 ◽  
Vol 86 (2) ◽  
pp. 603-620
Author(s):  
Yasuaki Tannaka ◽  
Tsuneji Koshikawa
Keyword(s):  
Sound Field ◽  
Sound Quality ◽  
Subjective Ratings

Speech Perception Performance in Experienced Cochlear-Implant Patients Receiving the SPEAK Processing Strategy in the Nucleus Spectra-22 Cochlear Implant

1998 ◽  
Vol 41 (5) ◽  
pp. 1073-1087 ◽  
Author(s):  
Aaron J. Parkinson ◽  
Wendy S. Parkinson ◽  
Richard S. Tyler ◽  
Mary W. Lowder ◽  
Bruce J. Gantz
Keyword(s):  
Speech Recognition ◽  
Speech Perception ◽  
Cochlear Implant ◽  
Sound Quality ◽  
Learning Effects ◽  
Processing Strategy ◽  
Subjective Ratings ◽  
Open Set ◽  
Wide Range

Sixteen experienced cochlear implant patients with a wide range of speechperception abilities received the SPEAK processing strategy in the Nucleus Spectra-22 cochlear implant. Speech perception was assessed in quiet and in noise with SPEAK and with the patients' previous strategies (for most, Multipeak) at the study onset, as well as after using SPEAK for 6 months. Comparisons were made within and across the two test sessions to elucidate possible learning effects. Patients were also asked to rate the strategies on seven speech recognition and sound quality scales. After 6 months' experience with SPEAK, patients showed significantly improved mean performance on a range of speech recognition measures in quiet and noise. When mean subjective ratings were compared over time there were no significant differences noted between strategies. However, many individuals rated the SPEAK strategy better for two or more of the seven subjective measures. Ratings for "appreciation of music" and "quality of my own voice" in particular were generally higher for SPEAK. Improvements were realized by patients with a wide range of speech perception abilities, including those with little or no open-set speech recognition.

scholarly journals Evaluation and Improvement of the Sound Quality of a Diesel Engine Based on Tests and Simulations

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 777 ◽  
Author(s):  
Zhengwei Yang ◽  
Huihua Feng ◽  
Bingjie Ma ◽  
Ammar Abdualrahim Alnor Khalifa
Keyword(s):  
Diesel Engine ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Subjective Evaluation ◽  
Sound Field ◽  
Sound Quality ◽  
Pressure Level ◽  
Sound Power ◽  
Improvement Strategy ◽  
Radiated Sound

Traditional acoustic evaluation of a diesel engine generally uses the A-weighted sound pressure level (AWSPL) and radiated sound power to assess the noise of an engine prototype present in an experiment. However, this cannot accurately and comprehensively reflect the auditory senses of human subjects during the simulation stage. To overcome such shortage, the Moore–Glasberg loudness and sharpness approach is applied to evaluate and improve the sound quality (SQ) of a 16 V-type marine diesel engine, and synthesizing noise audio files. Through finite element (FE) simulations, the modes of the engine’s block and the average vibrational velocity of the entire engine surface were calculated and compared with the test results. By further applying an automatically matched layer (AML) approach, the engine-radiated sound pressure level (SPL) and sound power contributions of all engine parts were obtained. By analyzing the Moore–Glasberg loudness and sharpness characteristics of three critical sound field points, an improvement strategy of the oil sump was then proposed. After improvement, both the loudness and sharpness decreased significantly. To verify the objective SQ evaluation results, ten noise audio clips of the diesel engine were then synthesized and tested. The subjective evaluation results were in accordance with the simulated analysis. Therefore, the proposed approach to analyze and improve the SQ of a diesel engine is reliable and effective.

Loudspeaker-based sound reproduction for evaluating noise transmission into the car cabin

2021 ◽  
Vol 263 (6) ◽  
pp. 886-893
Author(s):  
Matthieu Kuntz ◽  
Gregor-Johannes Müller ◽  
Peter Kalinke ◽  
Bernhard U. Seeber
Keyword(s):  
Development Process ◽  
Sound Field ◽  
Sound Quality ◽  
Anechoic Chamber ◽  
Test Procedures ◽  
Field Recording ◽  
Testing Facility ◽  
Airborne Noise ◽  
Reference Measurements ◽  
Key Parameter

Virtual and laboratory-based design techniques can accelerate the development process over conventional prototype-and-field-test procedures. In car acoustics, the transmission of outside airborne noise into the cabin needs to be understood and managed. Here, we evaluate the accuracy of sound field recording and reproduction techniques for investigating the transmission of airborne noise into the driver's cabin of a car. Reference measurements of a real sound field, generated by a truck with idling engine to create a realistic scenario, were carried out in a semi-anechoic chamber. The reference sound field was recorded inside and around a test car. Additionally, a spatial recording of the reference sound field was carried out and used to reproduce the reference sound field over a loudspeaker array in a different, fully anechoic chamber, where the sound field was again measured inside and around the same test car. A comparison of the measured loudness inside the test car shows that this key parameter for sound quality could be reproduced rather faithfully over a loudspeaker array in a controlled testing facility.

Acoustical Design and Measurement in Surround Sound Classroom

2011 ◽  
Vol 105-107 ◽  
pp. 1839-1842
Author(s):  
Yi Hong Li ◽  
Ai Ying Yang
Keyword(s):  
Sound Propagation ◽  
Signal To Noise Ratio ◽  
Sound Field ◽  
Sound Quality ◽  
Signal To Noise ◽  
Surround Sound ◽  
Testing Data ◽  
Noise Ratio

This paper covers the requirement and measurement of sound quality in the surround sound classroom. Based on the characteristics of the sound field, this paper specially deals with the design of acoustics requirement of the characteristics of reverberation frequency and sound propagation. In order to meet the requirements of recording in signal to noise ratio, comprehensive methods in noise decrease are adopted in design, which include the reduction of noise in room background. Through the checking of the testing data and the evaluation of the users, various acoustics norms meet the requirements of acoustics and the demands of the using.

Research on Speech Intelligibility of Sound Field inside Passenger Car

2011 ◽  
Vol 403-408 ◽  
pp. 5214-5219
Author(s):  
Deng Feng Wang ◽  
Gang Ping Tan ◽  
Shu Ming Chen ◽  
Ji Guang Jiang ◽  
Li Li Su
Keyword(s):  
Speech Intelligibility ◽  
Subjective Evaluation ◽  
Sound Field ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Passenger Car ◽  
Factors Influencing ◽  
Intelligibility Test ◽  
Sound Environment ◽  
Speech Intelligibility Index

Speech intelligibility is one of the most important aspects of the study of sound quality inside vehicle. Speech intelligibility test is the direct approach to decide whether the listening environment inside vehicle is superior or inferior, but it has many short-comings in the process of subjective evaluation which is time-consuming, laborious and difficult of accomplishment. In this article, speech intelligibility index which is an objective evaluation index, is used for analyzing and evaluating the sound quality inside passenger car, and is calculated separately by two methods. By analyzing the factors influencing the speech intelligibility inside vehicle under different conditions, the methods to improve the sound environment are proposed, which can provide a direct significance for improving sound quality inside vehicle.

The Effect of a High Upper Input Limiting Level on Word Recognition in Noise, Sound Quality Preferences, and Subjective Ratings of Real-World Performance

2015 ◽  
Vol 26 (06) ◽  
pp. 547-562
Author(s):  
Kristi Oeding ◽  
Michael Valente
Keyword(s):  
Word Recognition ◽  
Hearing Aids ◽  
Real World ◽  
Repeated Measures ◽  
Dynamic Range ◽  
Sound Quality ◽  
Subjective Ratings ◽  
Analog To Digital ◽  
Significant Difference ◽  
Listening Environments

Background: One important factor that plays a role in front-end processing is the analog-to-digital converter within current hearing aids. The average input dynamic range of hearing aids is 96 dB SPL with an upper input limiting level (UILL) of 95–105 dB SPL. The UILL of standard hearing aids could distort loud signals, such as loud speech or music, which have root-mean-square values of 90 and 105 dB SPL with crest factors of 12 dB SPL to 14–20 dB SPL, respectively. This indicates that these loud sounds could create a distorted signal for patients when the input limiting level is reached. Purpose: To examine if significant differences in word recognition in noise, sound quality preferences, and subjective ratings of real-world performance exist between conventional and high UILL hearing aids. Research Design: Words in noise and sound quality preferences were assessed using recordings on a Knowles Electronic Manikin for Acoustic Research with conventional and high UILL hearing aids, different microphone modes, and listening conditions. Participants wore the hearing aids for 2 mo and completed questionnaires on subjective performance. Study Sample: Ten adults with bilateral slight to moderately severe sensorineural hearing loss were recruited. Results: A four-factor repeated-measures analysis of variance (ANOVA) revealed significant differences between the conventional and high UILL across microphone modes and listening conditions for words in noise [F (2, 18) = 6.0; p < 0.05]. A three-factor repeated-measures ANOVA for sound quality preferences revealed a significant difference only for presentation level [F (1, 9) = 81.0; p < 0.001]. A one-factor ANOVA did not reveal significant differences between the conventional and high UILL on subjective ratings of real-world performance. Conclusions: Word recognition and sound quality preferences revealed significant differences between the conventional and high UILL; however, there were no differences in subjective ratings of real-world performance. One participant preferred the conventional UILL, two the high UILL, and seven thought performance was equal, which may be due to the listening environments participants encountered, as evidenced by datalogging.

FINITE ELEMENT DETERMINATION OF THE HEAD-RELATED TRANSFER FUNCTION

2015 ◽  
Vol 15 (05) ◽  
pp. 1550066 ◽  
Author(s):  
FUYIN MA ◽  
JIU HUI WU ◽  
MENG HUANG ◽  
WEIQUAN ZHANG ◽  
WENZHONG HOU ◽  
...  
Keyword(s):  
Finite Element ◽  
Transfer Function ◽  
Sound Source ◽  
Quality Evaluation ◽  
Sound Field ◽  
Sound Quality ◽  
Equipment Design ◽  
Element Determination ◽  
Head Related Transfer Function ◽  
Audio Equipment

The auditory peripheral system, which takes care of collection and enlargement in hearing processing, is an important part of the overall auditory system. This system is the key of sound source identification and location, and an important basis for a variety of audio equipment design and sound quality evaluation. In order to better recognize the acoustic characteristics of the auditory peripheral system, and effectively guide the audio equipment design as well as the sound quality evaluation, this study presents a numerical model based on the finite element/infinite element method (FEM/IFEM) to compute the near-field head-related transfer function (HRTF) on a reversed head model. A spherical sound source is positioned at different locations in the horizontal, median and lateral planes. The HRTFs and sound field distributions are computed for a frequency range up to 6 kHz. The present model is qualitatively validated against experimental data from MIT database. The results confirm the potentiality of the proposed approach which can efficiently detect the diffraction region, diffraction angle and tails in the sound field.

scholarly journals Interior Sound Field Subjective Evaluation Based on the 3D Distribution of Sound Quality Objective Parameters and Sound Source Localization

Materials ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 429
Author(s):  
Jiangming Jin ◽  
Hao Cheng ◽  
Tianwei Xie ◽  
Huancai Lu
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Sound Pressure ◽  
Low Frequency ◽  
Sound Field ◽  
Sound Quality ◽  
Sound Source Localization ◽  
Frequency Noise ◽  
Sound Sources ◽  
Quality Objective

Controlling low frequency noise in an interior sound field is always a challenge in engineering, because it is hard to accurately localize the sound source. Spherical acoustic holography can reconstruct the 3D distributions of acoustic quantities in the interior sound field, and identify low-frequency sound sources, but the ultimate goal of controlling the interior noise is to improve the sound quality in the interior sound field. It is essential to know the contributions of sound sources to the sound quality objective parameters. This paper presents the mapping methodology from sound pressure to sound quality objective parameters, where sound quality objective parameters are calculated from sound pressure at each specific point. The 3D distributions of the loudness and sharpness are obtained by calculating each point in the entire interior sound field. The reconstruction errors of those quantities varying with reconstruction distance, sound frequency, and intersection angle are analyzed in numerical simulation for one- and two-monopole source sound fields. Verification experiments have been conducted in an anechoic chamber. Simulation and experimental results demonstrate that the sound source localization results based on 3D distributions of sound quality objective parameters are different from those based on sound pressure.

Decay of Temporary Threshold Shift in Noise

1973 ◽  
Vol 16 (2) ◽  
pp. 267-270 ◽  
Author(s):  
John H. Mills ◽  
Seija A. Talo ◽  
Gloria S. Gordon
Keyword(s):  
Sound Field ◽  
Threshold Shift ◽  
Temporary Threshold Shift ◽  
Octave Band ◽  
Band Noise ◽  
Lower Asymptote

Groups of monaural chinchillas trained in behavioral audiometry were exposed in a diffuse sound field to an octave-band noise centered at 4.0 k Hz. The growth of temporary threshold shift (TTS) at 5.7 k Hz from zero to an asymptote (TTS ∞ ) required about 24 hours, and the growth of TTS at 5.7 k Hz from an asymptote to a higher asymptote, about 12–24 hours. TTS ∞ can be described by the equation TTS ∞ = 1.6(SPL-A) where A = 47. These results are consistent with those previously reported in this journal by Carder and Miller and Mills and Talo. Whereas the decay of TTS ∞ to zero required about three days, the decay of TTS ∞ to a lower TTS ∞ required about three to seven days. The decay of TTS ∞ in noise, therefore, appears to require slightly more time than the decay of TTS ∞ in the quiet. However, for a given level of noise, the magnitude of TTS ∞ is the same regardless of whether the TTS asymptote is approached from zero, from a lower asymptote, or from a higher asymptote.

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