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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
TL;DR: A two-microphone speech enhancer designed to remove noise in hands-free car kits using speech correlation and noise decorrelation to separate speech from noise, showing the superiority of the two-sensor approach to single microphone techniques.
Abstract: This paper presents a two-microphone speech enhancer designed to remove noise in hands-free car kits. The algorithm, based on the magnitude squared coherence, uses speech correlation and noise decorrelation to separate speech from noise. The remaining correlated noise is reduced using cross-spectral subtraction. Particular attention is focused on the estimation of the different spectral densities (noise and noisy signals power spectral densities) which are critical for the quality of the algorithm. We also propose a continuous noise estimation, avoiding the need of vocal activity detector. Results on recorded signals are provided, showing the superiority of the two-sensor approach to single microphone techniques.

50 citations

Journal ArticleDOI
TL;DR: N100 latency to tones and performance on auditory temporal tasks were related in AN subjects and may serve as an objective measure of the efficiency of auditory temporal processes.

50 citations

Patent
20 Apr 2005
TL;DR: In this paper, the adaptive beamformer unit (191) comprises a filtered sum beamformer (107) arranged to process input audio signals (u l, u 2) from an array of respective microphones (101, 103), and arranged to yield as an output a first audio signal (z) predominantly corresponding to sound from a desired audio source (160).
Abstract: The adaptive beamformer unit (191) comprises: a filtered sum beamformer (107) arranged to process input audio signals (u l, u2) from an array of respective microphones (101, 103), and arranged to yield as an output a first audio signal (z) predominantly corresponding to sound from a desired audio source (160) by filtering with a first adaptive filter (fl (-t)) a first one of the input audio signals (u l) and with a second adaptive filter (f2(-t)) a second one of the input audio signals (u2), the coefficients of the first filter (fl(-t)) and the second filter (f2(-t)) being adaptable with a first step size (al) and a second step size ((x2) respectively; noise measure derivation means (111) arranged to derive from the input audio signals (ul, u2) a first noise measure (xl) and a second noise measure (x2); and an updating unit (192) arranged to determine the first and second step size (al, (x2) with an equation comprising in a denominator the first noise measure (xl) for the first step size (al), respectively the second noise measure (x2) for the second step size (a2). This makes the beamformer relatively robust against the influence of correlated audio interference. The beamformer may also be incorporated in a sidelobe canceller topology yielding a more noise cleaned desired sound estimate, which can be used in a related, more advanced adaptive filter (fl (-t), f2(-t)) updating. Such a beamformer is typically useful for application in handsfree speech communication systems.

49 citations

Journal ArticleDOI
TL;DR: In this paper, the authors suggest that wind turbine (WT) noise may cause annoyance, especially in relatively quiet areas with low ambient levels, and as a compliment to conventional noise control at the source, addition of wanted sounds may...
Abstract: Wind turbine (WT) noise may cause annoyance, especially in relatively quiet areas with low ambient levels. As a compliment to conventional noise control at the source, addition of wanted sounds may ...

49 citations

Patent
30 Oct 2008
TL;DR: In this article, a technique for suppressing non-stationary noise, such as wind noise, in an audio signal is described, in which a series of frames of the audio signal are analyzed to detect whether the audio signals comprises nonstationary noises.
Abstract: A technique for suppressing non-stationary noise, such as wind noise, in an audio signal is described. In accordance with the technique, a series of frames of the audio signal is analyzed to detect whether the audio signal comprises non-stationary noise. If it is detected that the audio signal comprises non-stationary noise, a number of steps are performed. In accordance with these steps, a determination is made as to whether a frame of the audio signal comprises non-stationary noise or speech and non-stationary noise. If it is determined that the frame comprises non-stationary noise, a first filter is applied to the frame and if it is determined that the frame comprises speech and non-stationary noise, a second filter is applied to the frame.

49 citations


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