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.
Papers published on a yearly basis
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TL;DR: Thresholds for the speech signal were comparable across all infant groups for both levels of masking noise and adult thresholds were approximately 10-12 dB lower than those of infants at both masking levels.
Abstract: Localization responses to a speech phrase masked by white noise were obtained from infants 6, 12, 18, and 24 months of age and from adults. The masking noise was presented continuously from two lou...
41 citations
TL;DR: In this article, a method for producing a copy-protected audio compact disc containing a plurality of symbols within error-correction codewords, representing audio data samples of an audio signal is provided.
Abstract: A method for producing a copy-protected audio compact disc containing a plurality of symbols within error-correction codewords, representing audio data samples of an audio signal is provided. The method includes the steps of selecting at least one audio data sample of the audio signal (1415); locating the data symbols representing audio data sample (1420); overwriting symbols with erroneous symbols (1440); locating the error-correction codewords associated with the data symbols and disabling the error-correction of said error-correction codewords (1455).
41 citations
TL;DR: The 24-hour average sound levels varied between 64.0 and 55.8dB, with some diurnal variation in noise levels, thereby consistently exceeding recommended levels and could potentially affect patient care and well-being whilst in the ED.
41 citations
TL;DR: In this article, the authors proposed a method for noise cancellation and power management in a wireless headset using two or more omni-directional microphones to generate a noise canceling cone.
Abstract: This includes systems and methods for noise cancellation and power management in a wireless headset. The wireless headset can perform noise cancellation by using two or more omni-directional microphones to generate a noise canceling “cone.” Audio signals received outside of the cone can be filtered out. An accelerometer can be used to determine the location of the wireless headset and the system can then properly position the cone to face the user's voice and filter out other audio signals. Additionally, by monitoring the ambient noise, the system can save power by turning off the noise cancellation system when the amount of ambient noise is below a threshold value.
41 citations
TL;DR: Alternative to the frequency-temporal filtering combination for an extension method of Philips' audio fingerprinting scheme to achieve robustness to channel and background noise under the conditions of a real situation are introduced and experimental results show that the proposed filtering combination improves noise robustness in audio identification.
Abstract: In a real environment, sound recordings are commonly distorted by channel and background noise, and the performance of audio identification is mainly degraded by them. Recently, Philips introduced a robust and efficient audio fingerprinting scheme applying a differential (high-pass filtering) to the frequency-time sequence of the perceptual filter-bank energies. In practice, however, the robustness of the audio fingerprinting scheme is still important in a real environment. In this letter, we introduce alternatives to the frequency-temporal filtering combination for an extension method of Philips' audio fingerprinting scheme to achieve robustness to channel and background noise under the conditions of a real situation. Our experimental results show that the proposed filtering combination improves noise robustness in audio identification. Keywords ⎯ Music information retrieval, audio fingerprint, frequency filtering, temporal filtering.
41 citations