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.

Perception of Coloration in Filtered Gaussian Noise—Short‐Time Spectral Analysis by the Ear

Abstract: Frequency‐response irregularities of electroacoustic components (loudspeakers, microphones, etc.) are usually well audible when the response irregularity exceeds several decibels. In contrast, the considerable frequency irregularity of rooms (10 db or more) is generally not perceived when listening in rooms to speech or noise. To resolve this paradox, the following hypothesis has been made: The ear is not directly sensitive to the frequency irregularity of a “filter” inserted between it and the sound source, but rather to a smoothed version of its frequency response, corresponding to the ear's inability to resolve fine detail of irregular frequency responses. (The limited frequency resolution is a necessary consequence of the short‐time spectral analysis performed by the ear.)—Experiments with filtered Gaussian noise have confirmed this hypothesis for a variety of periodic frequency responses with different frequency irregularities and peak spacings. Investigations with aperiodic (more roomlike) frequency...

Dynamic enhancement of audio (dae) in headset systems

Abstract: Various embodiments relate to signal processing and, more particularly, to processing of received speech signals to preserve and enhance speech intelligibility. In one embodiment, a communications apparatus includes a receiving path over which received speech signals traverse in an audio stream, and an dynamic audio enhancement device disposed in the receiving path. The dynamic audio enhancement ("DAE") device is configured to modify an amount of volume and an amount of equalization of the audio stream. The DAE device can include a noise level estimator ("NLE") configured to generate a signal representing a noise level estimate. The noise level estimator can include a non-stationary noise detector and a stationary noise detector. The noise level estimator can be configured to generate the signal representing a first noise level estimate based on detection of the non-stationary noise or a second noise level estimate based on detection of the stationary noise.

A novel secret sharing scheme from audio perspective

Abstract: In this paper, a new audio secret sharing scheme which is secure and ideal is proposed. This scheme is (k, n) threshold for k ges 2, where the previous schemes were (2, n). It is assumed that both, ldquosharesrdquo and ldquosecretrdquo, are audio files instead of a bit string secret proposed in the previous works. The audio secret is reconstructed without any computation, that is only by playing audio shares simultaneously. Moreover, the simulation results shows that the new scheme is not sensitive to audio noise.

Audio fingerprinting for multi-device self-localization

Abstract: We investigate the self-localization problem of an ad-hoc network of randomly distributed and independent devices in an open-space environment with low reverberation but heavy noise (e.g. smartphones recording videos of an outdoor event). Assuming a sufficient number of sound sources, we estimate the distance between a pair of devices from the extreme (minimum and maximum) time difference of arrivals (TDOAs) from the sources to the pair of devices without knowing the time offset. The obtained inter-device distances are then exploited to derive the geometrical configuration of the network. In particular, we propose a robust audio fingerprinting algorithm for noisy recordings and perform landmark matching to construct a histogram of the TDOAs of multiple sources. The extreme TDOAs can be estimated from this histogram. By using audio fingerprinting features, the proposed algorithm works robustly in very noisy environments. Experiments with free-field simulation and open-space recordings prove the effectiveness of the proposed algorithm.