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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: The experimental evaluation using real data clearly shows that MMSE STSA can reduce noise with similar effectiveness to a previously recommended wavelet-transform-based denoising technique while executing between approximately 5–300 times faster depending on the audio files tested.
Abstract: Automatic recording and analysis of bird calls is becoming an important way to understand changes in bird populations and assess environmental health. An issue currently proving problematic with the automatic analysis of bird recordings is interference from noise that can mask vocalizations of interest. As such, noise reduction can greatly increase the accuracy of automatic analyses and reduce processing work for subsequent steps in bioacoustics analyses. However, only limited work has been done in the context of bird recordings. Most semiautomatic methods either manually apply sound enhancement methods available in audio processing systems such as SoX and Audacity or apply preliminary filters such as low- and high-pass filters. These methods are insufficient both in terms of how generically they can be applied and their integration with automatic systems that need to process large amounts of data. Some other work applied more sophisticated denoising methods or combinations of different methods such as minimum mean square error short-time spectral amplitude estimator (MMSE STSA) and spectral subtraction for other species such as anurans. However, their effectiveness is not tested on bird recordings. In this paper, we analyze the applicability of the MMSE STSA algorithm to remove noise from environmental recordings containing bird sounds, particularly focusing on its quality and processing time. The experimental evaluation using real data clearly shows that MMSE STSA can reduce noise with similar effectiveness [using objective metrics such as predicted signal quality (SIG)] to a previously recommended wavelet-transform-based denoising technique while executing between approximately 5–300 times faster depending on the audio files tested.

19 citations

Journal Article
TL;DR: It has been suggested that hybrid and all-electric automobiles are so quiet at low speed in electric drive that they constitute a safety hazard for pedestrians and bicyclists.
Abstract: It has been suggested that hybrid and all-electric automobiles are so quiet at low speed in electric drive that they constitute a safety hazard for pedestrians and bicyclists. This trait has been e ...

19 citations

Journal ArticleDOI
TL;DR: It is indicated that use of a wireless HAT improves word recognition over the mobile telephone in quiet and in noise relative to performance in the acoustic mobile telephone condition for a group of adult cochlear implant recipients.
Abstract: Objective: The objective of this study was to evaluate the potential improvement in word recognition in quiet and in noise obtained with use of a Bluetooth-compatible wireless hearing assistance technology (HAT) relative to the acoustic mobile telephone condition (e.g. the mobile telephone receiver held to the microphone of the sound processor). Design: A two-way repeated measures design was used to evaluate differences in telephone word recognition obtained in quiet and in competing noise in the acoustic mobile telephone condition compared to performance obtained with use of the CI sound processor and a telephone HAT. Study sample: Sixteen adult users of Nucleus cochlear implants and the Nucleus 6 sound processor were included in this study. Results: Word recognition over the mobile telephone in quiet and in noise was significantly better with use of the wireless HAT compared to performance in the acoustic mobile telephone condition. Word recognition over the mobile telephone was better in quiet ...

19 citations

Patent
21 Aug 1998
TL;DR: In this paper, a sound determining part determines the existence of sound when a value σe2 found by an energy dispersion operating part 3 is larger than a threshold value.
Abstract: PROBLEM TO BE SOLVED: To make easily and quickly determinable between silent and sound blocks, and make sortable to music blocks and voice blocks, or to music blocks, voice blocks and noise blocks. SOLUTION: A sound determining part 4 determines the existence of sound when a value σe2 found by an energy dispersion operating part 3 is larger than a threshold value. When the existence of the sound is determined, audio information stored in a memory 5 is read out to be input to a sum-of-whole-subband- energy operating part 7 and a gravity-center-of-subband-energy operating part 11. Outputs of the operating part 7 are binarized by a binarization operating part 8 to find dispersion σs2 within a unit time of a binarized series in a binarized series dispersion operating means 9. On the other hand, A mean.dispersion-of-energy-gravity-center operating part 12 finds a mean of energy gravity centers Eg and dispersion σg2. An audio information identification part 10 conducts determination of noises, music and sound relating to the dispersion σs2, the mean Eg and dispersion σg2, using an identification function. COPYRIGHT: (C)2000,JPO

19 citations

Proceedings ArticleDOI
01 Dec 2006
TL;DR: A robust method to localize the vertical direction of the sound source with two microphones and pinnae is proposed and the authors designed an audio servo with the proposed spectral cues and implemented the method in an actual robot.
Abstract: An important ability in auditory robots is the localization of sound source. In this paper, a robust method to localize the vertical direction of the sound source with two microphones and pinnae is proposed. In order to achieve vertical sound source localization, the method of detecting spectral cues, the relationship between spectral cues and source direction are studied. In addition, this paper considers sound source separation in order to recognize and isolate spectral cues only from the sound source in order to make the method robust to extraneous noise. Furthermore the authors designed an audio servo with the proposed spectral cues and implemented the method in an actual robot. The experimental results confirmed the effectiveness of the method.

19 citations


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