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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Papers
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07 May 2001TL;DR: The proposed method enables one to embed high energy echoes while the host audio quality is not deteriorated, so that it is robust to common signal processing modifications and resistant to tampering.
Abstract: Echo watermarking marks audio signals by adding an echo. The embedded signal is not additive noise but an audio signal having the same statistical and perceptual characteristics. The echo is even perceived as added resonance. Conventional echo watermarking techniques often exhibit inherent trade-offs between imperceptibility and robustness. A new echo embedding technique is proposed. The proposed method enables one to embed high energy echoes while the host audio quality is not deteriorated, so that it is robust to common signal processing modifications and resistant to tampering. This is possible due to echo kernels that are designed based on psychoacoustic analyses. Subjective and objective evaluations confirmed that the proposed method could improve the robustness without perceptible distortion.
132 citations
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14 Jun 2005
TL;DR: In this article, a method for adjusting the volume of a mobile device in relation to environment noise is presented, which includes sampling ambient noise around the mobile device to obtain at least one audio sample and measuring volume of the audio sample to determine volume of ambient noise.
Abstract: In accordance with one or more embodiments, a method for adjusting volume of a mobile device in relationship to environment noise is provided. The method comprises sampling ambient noise around the mobile device to obtain at least one audio sample; measuring volume of the at least one audio sample to determine volume of the ambient noise; increasing the volume of the mobile device, when the volume of the ambient noise is greater than a first threshold value; and decreasing the volume of the mobile device, when the volume of the ambient noise is less than a second threshold value.
132 citations
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IBM1
TL;DR: In this paper, a method and system for responding to randomly occurring noise in a voice recognition application program is presented, where the system receives an audio signal representative of sound in an audio environment and processes the audio signal to identify certain non-speech sounds.
Abstract: A method and system for responding to randomly occurring noise in a voice recognition application program. The system receives an audio signal representative of sound in an audio environment and processes the audio signal to identify certain non-speech sounds. A pre-defined action is performed in response to the non-speech sound which has been identified. The pre-defined action is selected from the group consisting of disabling a microphone source of the audio signal, suspending further processing of the audio signal by the speech recognition system, executing a user-defined macro, and ignoring the sound. The system may perform additional steps including recording a sound which is to be identified as a non-speech sound and assigning one of the pre-defined actions to be performed in response when the non-speech sound has been identified.
132 citations
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21 Feb 2003TL;DR: In this paper, a segmentation method based on the analysis of audio signal statistical features variation is proposed. But the main objective of this method is localization of segments with stationary properties, which can be used as an input data for classification, speech/music/noise attribution and so on.
Abstract: Disclosed herein is a segmentation method, which divides an input audio stream into segments containing different homogeneous signals. The main objective of this method is localization of segments with stationary properties. This method seeks all no-stationary points or intervals in the audio stream and creates a list of segments. The obtained list of segments can be used as an input data for the following procedures, such as classification, speech/music/noise attribution and so on. The proposed segmentation method is based on the analysis of audio signal statistical features variation and comprises three main stages: stage of first-grade characteristics calculation, stage of second-grade characteristics calculation and stage of decision-making.
130 citations
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15 Aug 2007
TL;DR: In this paper, the authors discuss the role of noise in music and propose an approach to reduce the amount of noise by using free electricity, industry, and Inept 6. Power 7. Japan 8. Electronic 10. Quiet 11.
Abstract: 1. Introduction: Noise in Music 2. Electricity 3. Free 4. Industry 5. Inept 6. Power 7. Japan 8. Merzbow 9. Electronic 10. Quiet 11. Conclusion.
128 citations