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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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PatentDOI
Hideki Satoh1, Tsuneo Nitta1
TL;DR: In this article, a speech detection apparatus capable of reliably detecting speech segments in audio signals regardless of the levels of input audio signals and background noises is presented. But it is not yet clear how to detect speech segments.
Abstract: A speech detection apparatus capable of reliably detecting speech segments in audio signals regardless of the levels of input audio signals and background noises. In the apparatus, a parameter of input audio signals is calculated frame by frame, and then compared with a threshold in order to judge each input frame as one of a speech segment and a noise segment, while the parameters of the input frames judged as the noise segments are stored in the buffer and the threshold is updated according to the parameters stored in the buffer. The apparatus may utilize a transformed parameter obtained from the parameter, in which the difference between speech and noise is emphasized, and noise standard patterns are constructed from the parameters of the input frames pre-estimated as noise segments.

38 citations

Journal ArticleDOI
TL;DR: In this article, the effects of classroom noise on an auditory processing task of learning disabled children were examined, with distractibility, activity, and cognition controlled, and it was concluded that auditory discrimination scores in quiet do not reflect accurately the expected value for the classroom.
Abstract: This study examined the effects of classroom noise on an auditory processing task of learning disabled children, with distractibility, activity, and cognition controlled. Forty children divided into normal and learning disabled groups were administered both forms of the Wepman Auditory Discrimination Test. Two listening conditions were tested: (1) the relative quiet of small test rooms, and (2) classroom noise (on a tape recorder) in the same test rooms. Results showed that learning disabled children made significantly more auditory discrimination errors than normals in both quiet and noise conditions. Both normal and learning disabled children made significantly more auditory discrimination errors in noise than in quiet. It cannot be said that the noise affected the two groups differentially; the magnitude of the differences was comparable statistically. It was concluded that auditory discrimination scores in quiet do not reflect accurately the expected value for the classroom.

38 citations

Patent
15 Apr 2013
TL;DR: In this paper, a secondary path estimating adaptive filter is used to estimate the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal.
Abstract: A personal audio device, such as a wireless telephone, includes an adaptive noise canceling (ANC) circuit that adaptively generates an anti-noise signal from a reference microphone signal and injects the anti-noise signal into the speaker or other transducer output to cause cancellation of ambient audio sounds. An error microphone is also provided proximate to the speaker to provide an error signal indicative of the effectiveness of the noise cancellation. A secondary path estimating adaptive filter is used to estimate the electro-acoustical path from the noise canceling circuit through the transducer so that source audio can be removed from the error signal. Adaptation of adaptive filters is sequenced so that update of their coefficients does not cause instability or error in the update. A level of the source audio with respect to the ambient audio can be determined to determine whether the system may generate erroneous anti-noise and/or become unstable.

38 citations

Journal ArticleDOI
01 Jan 2016
TL;DR: The measures prove that the speech enhanced by proposed Wiener filtering with the recursive noise estimation algorithm is more pleasant to the human ear for both noise conditions in comparison to the conventional speech enhancement method.
Abstract: This paper discusses the problem of single channel speech enhancement in stationary environments, and proposes Wiener filtering with the recursive noise estimation algorithm. The Wiener filter is a linear estimator and minimizes the mean-squared error between the original and enhanced speech. The algorithm is implemented in the frequency domain and depends on the filter transfer function from sample to sample based on the speech signal statistics; the local mean and the local variance. For the noise estimation, the recursive noise estimation approach is used. In this approach, the noise estimation is done by past and present spectral power values, using a smoothing parameter. The value of smoothing parameter is selected in between [0 1]. For the performance evaluation of the proposed speech enhancement algorithm objective evaluations with informal listening tests are conducted for the speech sentences, pronounced by male and female speakers from the NOIZEUS corpus, degraded by White as well as Pink noise types at different SNR levels. For objective measures, signal to noise ratio, segmental signal to noise ratio, and the perceptual evaluation of speech quality are used. The measures prove that the speech enhanced by proposed algorithm is more pleasant to the human ear for both noise conditions in comparison to the conventional speech enhancement method.

38 citations

Journal ArticleDOI
TL;DR: This report summarizes the development of the Castilian Spanish HINT over the past 25 years in the 20 countries where Spanish is the official language.
Abstract: Spanish is the third most commonly spoken language in the world, after English and Mandarin (Graddol, 2006). The 400 million Spanish speakers are widely dispersed in the western hemisphere. There a...

38 citations


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