Topic
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.
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TL;DR: Bimodal benefit in quiet depends on hearing thresholds at higher frequencies as well as in the lower- and middle-frequency ranges and no correlation with hearing threshold in any frequency range was found.
Abstract: Objective: To determine speech perception in quiet and noise of adult cochlear implant listeners retaining a hearing aid contralaterally. Second, to investigate the influence of contralateral heari...
31 citations
01 Sep 1998
TL;DR: A theoretical study on the performance of several multichannel noise reduction algorithms and proposes to measure the spatial complex coherence (CC) or normalized cross power spectrum of the sound field and shows that it can be used as a much more general tool for performance analysis.
Abstract: In this contribution we present a theoretical study on the performance of several multichannel noise reduction algorithms. It is known that the magnitude squared coherence (MSC) determines the performance of a class of adaptive algorithms i.e. active noise control or noise reduction with a reference microphone. However, the MSC is not sufficient for performance evaluation of other noise reduction methods like the Generalized Sidelobe Canceller (GSC) or adaptive post-filter techniques. We propose to measure the spatial complex coherence (CC) or normalized cross power spectrum of the sound field and show that it can be used as a much more general tool for performance analysis. First of all, we summarize the results of previous studies and present new results for the performance of the Generalize Sidelobe Canceller (GSC) as a function of the complex coherence. In the second part we examine different noise fields to show theoretical limits of multichannel noise reduction schemes.
31 citations
TL;DR: In this paper, a system and method for characterizing the contents of an input audio signal and for suppressing noise components of the input audio signals is described, where the audio signal is divided into a number of frequency domain input signals.
Abstract: A system and method for characterizing the contents of an input audio signal and for suppressing noise components of the input audio signal are described. The audio signal is divided into a number of frequency domain input signals. Each frequency domain input signal can be processed separately to determine its intensity change, modulation frequency, and time duration characteristics to characterize the frequency domain input signal as containing a desirable signal or as a type of noise. An index signal is calculated based on a combination of the determined characteristics and signals identified as noise are suppressed in comparison to signals identified as desirable to produce a set of frequency domain output signals with reduced noise. The frequency domain output signals are combined to provide an output audio signal corresponding to the input audio signal but having suppressed noise components and comparatively enhanced desirable signal components.
31 citations
TL;DR: The decay of threshold shift was never complete and small amounts of permanent threshold shift were observed for the highest levels of noise, while it was nearly complete only after 3–5 days for the intermediate levels of Noise.
Abstract: Trained chinchillas were exposed to 6 h of noise followed by 18 h of quiet for nine days. Thresholds (0.5–8.0 kHz) were measured immediately before and after each day’s exposure. The decay of threshold shift after the ninth day was followed until stable thresholds were again observed. This procedure was repeated for six levels (57–92 dB SPL) of an octave‐band noise centered at 4.0 kHz. The threshold shift measured after 4 min of quiet (TS4) appears to reach an asymptotic level (ATS4) after the first or second exposure. ATS4, measured at frequencies exhibiting greatest shift (5.7 kHz), increases with the level of the noise with the same slope (1.7 dB/dB) for the daily 6‐h exposures as for nearly continuous exposures. ATS4 is smaller for 6 h than nearly continuous exposures by about 5 dB and this difference can be explained by an equivalent‐power hypothesis. The decay of threshold shift was nearly complete after 18 h of quiet for the lowest levels of noise, while it was nearly complete only after 3–5 days for the intermediate levels of noise. The decay of threshold shift was never complete and small amounts of permanent threshold shift were observed for the highest levels of noise.
31 citations
Patent•
22 Jun 2002TL;DR: In this article, a repeating object extractor performs a computationally efficient joint segmentation and identification of the stream even in an environment where endpoints of audio objects are unknown or corrupted by voiceovers, cross-fading, or other noise.
Abstract: The “repeating object extractor” described herein automatically segments and identifies audio objects such as songs, station identifiers, jingles, advertisements, emergency broadcast signals, etc., in an audio stream. The repeating object extractor performs a computationally efficient joint segmentation and identification of the stream even in an environment where endpoints of audio objects are unknown or corrupted by voiceovers, cross-fading, or other noise. Parametric information is computed for a portion of the audio stream, followed by an initial comparison pass against a database of known audio objects to identify known audio objects which represent potential matches to the portion of the audio stream. A detailed comparison between the potential matches and the portion of the audio stream is then performed to confirm actual matches for segmenting and identifying the audio objects within the stream, an alignment between matches is then used to determine extents of audio objects in the audio stream.
31 citations