Tools For Sound Quality Analysis In Complex Sound Fields

1994 ◽  
Author(s):  
Alun Crewe
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Complex Sound ◽  
Sound Fields

Sound Quality Analysis of a Passenger Car Based on Rumbling Index

2005 ◽  
Author(s):  
Sang-Kwon Lee ◽  
Byung-Soo Kim ◽  
Hee-Chang Chae ◽  
Dong-Chul Park ◽  
Seung-Gyoon Jung
Keyword(s):  
Sound Quality ◽  
Quality Analysis ◽  
Passenger Car

scholarly journals Energetic and Informational Components of Speech-on-Speech Masking in Binaural Speech Intelligibility and Perceived Listening Effort

2019 ◽  
Vol 23 ◽  
pp. 233121651985459 ◽  
Author(s):  
Jan Rennies ◽  
Virginia Best ◽  
Elin Roverud ◽  
Gerald Kidd
Keyword(s):  
Speech Intelligibility ◽  
Signal To Noise Ratio ◽  
Spatial Separation ◽  
Signal To Noise ◽  
Listening Effort ◽  
Complex Sound ◽  
Time Frequency ◽  
Sound Fields ◽  
Energetic Masking

Speech perception in complex sound fields can greatly benefit from different unmasking cues to segregate the target from interfering voices. This study investigated the role of three unmasking cues (spatial separation, gender differences, and masker time reversal) on speech intelligibility and perceived listening effort in normal-hearing listeners. Speech intelligibility and categorically scaled listening effort were measured for a female target talker masked by two competing talkers with no unmasking cues or one to three unmasking cues. In addition to natural stimuli, all measurements were also conducted with glimpsed speech—which was created by removing the time–frequency tiles of the speech mixture in which the maskers dominated the mixture—to estimate the relative amounts of informational and energetic masking as well as the effort associated with source segregation. The results showed that all unmasking cues as well as glimpsing improved intelligibility and reduced listening effort and that providing more than one cue was beneficial in overcoming informational masking. The reduction in listening effort due to glimpsing corresponded to increases in signal-to-noise ratio of 8 to 18 dB, indicating that a significant amount of listening effort was devoted to segregating the target from the maskers. Furthermore, the benefit in listening effort for all unmasking cues extended well into the range of positive signal-to-noise ratios at which speech intelligibility was at ceiling, suggesting that listening effort is a useful tool for evaluating speech-on-speech masking conditions at typical conversational levels.

scholarly journals Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Angel David Blanco ◽  
Simone Tassani ◽  
Rafael Ramirez
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Sound Quality ◽  
Musical Instrument ◽  
Quality Analysis ◽  
Control Group ◽  
Practice Session ◽  
Quality Feedback ◽  
Bow Technique ◽  
Experimental Group

The production of good sound generation in the violin is a complex task that requires coordination and spatiotemporal control of bowing gestures. The use of motion-capture technologies to improve performance or reduce injury risks in the area of kinesiology is becoming widespread. The combination of motion accuracy and sound quality feedback has the potential of becoming an important aid in violin learning. In this study, we evaluate motion-capture and sound-quality analysis technologies developed inside the context of the TELMI, a technology-enhanced music learning project. We analyzed the sound and bow motion of 50 participants with no prior violin experience while learning to produce a stable sound in the violin. Participants were divided into two groups: the experimental group (N = 24) received real-time visual feedback both on kinematics and sound quality, while participants in the control group (N = 26) practiced without any type of external help. An additional third group of violin experts performed the same task for comparative purposes (N = 15). After the practice session, all groups were evaluated in a transfer phase without feedback. At the practice phase, the experimental group improved their bowing kinematics in comparison to the control group, but this was at the expense of impairing the sound quality of their performance. At the retention phase, the experimental group showed better results in sound quality, especially concerning control of sound dynamics. Besides, we found that the expert group improved the stability of their sound while using the technology. All in all, these results emphasize the importance of feedback technologies in learning complex tasks, such as musical instrument learning.

Sound quality analysis of far-field noise from a high-performance military aircraft

2017 ◽  
Vol 142 (4) ◽  
pp. 2514-2514
Author(s):  
S. Hales Swift ◽  
Kent L. Gee ◽  
Tracianne B. Neilsen ◽  
Alan T. Wall ◽  
Micah Downing ◽  
...  
Keyword(s):  
High Performance ◽  
Sound Quality ◽  
Quality Analysis ◽  
Far Field ◽  
Military Aircraft ◽  
Field Noise

A New Method of Sound Quality Analysis Based on Design of Experiment

2016 ◽  
Vol 30 (05) ◽  
pp. 1658001
Author(s):  
Gangping Tan ◽  
Gang Jie ◽  
Ming Cao
Keyword(s):  
Active Noise Control ◽  
Objective Evaluation ◽  
Sound Quality ◽  
Interior Noise ◽  
Quality Analysis ◽  
Optimum Level ◽  
Optimization Strategy ◽  
Vehicle Interior ◽  
Band Noise ◽  
Vehicle Interior Noise

An optimization strategy of sound quality was proposed to improve sound quality inside a vehicle. The frequency of vehicle interior noise was divided into sub-bands by equivalent rectangular bandwidth (ERB) in the frequency domain, and the intensity of sub-band noise located in the mid-low frequency can be modified by using the measure of active noise control (ANC) in order to analyze its influence on the sound quality of original noise. Orthogonal experiments of vehicle interior noise were conducted according to experimental design. A model of sound quality objective evaluation (SQOE) was proposed as an experimental index. The role of sub-band on the model of SQOE was analyzed at different speeds so as to achieve the optimum level, optimum combination of sound quality and main factors. The results, obtained by implementing the optimization strategy of sound quality, were verified by means of tests. By validation, it showed that optimum sound quality can be achieved by changing the intensity of sub-band noise.

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