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Noise

About: Noise is a research topic. Over the lifetime, 5111 publications have been published within this topic receiving 69407 citations. The topic is also known as: Мопсы танцуют под радио бандитов из сталкера 10 часов.


Papers
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Journal ArticleDOI
Yusuke Hioka1, Michael Kingan1, Gian Schmid1, Ryan McKay1, Karl Stol1 
TL;DR: Results of subjective listening tests suggest the quality of the recording made by the designed UAV mounted system for recording sound from a targeted source or direction is significantly better than that of the Recording by the shotgun microphone.

17 citations

Journal ArticleDOI
TL;DR: Calibration of clinical sound intensity measures according to this method is feasible, valid, accurate, and representative for a heterogeneous set of microphones and data acquisition systems in real-life circumstances with distinct noise contexts.
Abstract: Purpose Sound intensity is an important acoustic feature of voice/speech signals. Yet recordings are performed with different microphone, amplifier, and computer configurations, and it is therefore crucial to calibrate sound intensity measures of clinical audio recording and analysis systems on the basis of output of a sound-level meter. This study was designed to evaluate feasibility, validity, and accuracy of calibration methods, including audiometric speech noise signals and human voice signals under typical speech conditions. Method Calibration consisted of 3 comparisons between data from 29 measurement microphone-and-computer systems and data from the sound-level meter: signal-specific comparison with audiometric speech noise at 5 levels, signal-specific comparison with natural voice at 3 levels, and cross-signal comparison with natural voice at 3 levels. Intensity measures from recording systems were then linearly converted into calibrated data on the basis of these comparisons, and validity and acc...

17 citations

Proceedings ArticleDOI
23 Mar 1992
TL;DR: The a posteriori probability for the location of bursts of noise additively superimposed on a Gaussian autoregressive (AR) process is derived and the maximum a posterioru (MAP) solution for noise burst position is obtained by using a simple search procedure, yielding the noise burst location corresponding to minimum probability of error.
Abstract: The a posteriori probability for the location of bursts of noise additively superimposed on a Gaussian autoregressive (AR) process is derived. The maximum a posteriori (MAP) solution for noise burst position is obtained by using a simple search procedure, yielding the noise burst location corresponding to minimum probability of error. This procedure finds application in digital audio processing, where clicks and scratches may be modeled as additive bursts of noise. The method permits accurate detection of these degradations and their subsequent replacement (interpolation). Experiments were carried out on both real audio data and synthetic AR processes, and comparisons are made with previous techniques. >

17 citations

Patent
08 Oct 1987
TL;DR: In this paper, a method for damping interfering noise in the sound signal in the case of transmission by hearing aids is proposed, in which the sound signals detected are digitized, and the spectral distributions are determined by Fourier analysis.
Abstract: A method is proposed for damping interfering noise in the sound signal in the case of transmission by hearing aids. In this case, the sound signals detected are digitised, and the spectral distributions are determined by Fourier analysis. The temporal variations in the spectral distributions are monitored in a plurality of frequency windows. The respective temporal variations are compared with prescribed and, as the case may be, modified limit values. Depending on the comparison, control signals are produced which vary the amplitude of the spectral distributions and/or the cut-off frequencies in the respective frequency windows in such a way that the interference signals are suppressed. The changed spectral distributions are subsequently converted into synthetic sound signals which, for their part, are converted into acoustic signals.

17 citations

Journal Article
TL;DR: The masking-level difference (MILD) for spondaic words in the S.N. paradigm was developed for the Tonal and Speech Materials for Auditory Perceptual Assessment audio compact disc.
Abstract: one protocol developed for the Tonal and Speech Materials for Auditory Perceptual Assessment audio compact disc was the masking-level difference (MILD) for spondaic words in which the words and broadband noise were mixed and recorded at 16 selected signal-tonoise ratios. Four words were recorded at each level. Because it was impossible to monitor the word presentations at negative signal-to-noise ratios, a different paradigm was devised in which the spondaic words were embedded in 2000-msec bursts of noise. Before the materials were finalized for the compact disc, two experiments studied the perceptual characteristics of the paradigm . Experimentl was performed to determine the characteristics of the MILD for spondaic words in 2000-msec bursts of noise at 70 dB SPL . An unexpected finding was that the mean SoNo thresholds were at signal-to-noise ratios 3-4 dB lower than previously reported spondaic word thresholds in continuous broadband noise. Experiment 11 examined this discrepancy with the spondaic words embedded in continuous noise and in the 2000-msec noise bursts. The results confirmed the 3-4 dB difference between thresholds for the two masker conditions. Based on the pilot data, the spondaic words embedded in 2000msec bursts of broadband noise at signal-to-noise ratios of 0 dB to -30 dB were recorded on the compact disc in the S.N. paradigm . In the compact disc trials, which involved 120 subjects with normal hearing, the MLDs for the spondaic words recorded on the compact disc were measured on 60 subjects at each of two noise levels. The mean MLDs were 7.8 dB and 8.8 dB for the 65 and 85 dB SPL noise conditions, respectively, with 90 percent of the MLDs >_ 5.5 dB for each of the two conditions.

17 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20221
2021125
2020217
2019224
2018243
2017214