Abstract
A pure acoustic signal can be easy to realize signal analysis and feature extraction. However, the surrounding noises will affect the content of acoustic signals as well as auditory fatigue to the audience. Therefore, it is vital to overcome the problem of noises that affect the acoustic signal. An indoor acoustic signal enhanced method based on image source (IS) method, filtered-x least mean square (FxLMS) algorithm, and the combination of Delaunay triangulation and fuzzy c-means (FCM) clustering algorithm is proposed. In the first stage of the proposed system, the IS method was used to simulate indoor impulse response. Next, the FxLMS algorithm was used to reduce the acoustic signals with noise. Lastly, the quiet areas are optimized and visualized by combining the Delaunay triangulation and FCM clustering algorithm. The experimental analysis results on the proposed system show that better noise reduction can be achieved than the most widely used least mean square algorithm. Visualization was validated with an intuitive understanding of the indoor sound field distribution and the quiet areas.
Highlights
An acoustic signal is the most widely used signal in real life
Aiming at a better performance on acoustic enhancement, we propose a novel indoor acoustic signals enhanced method. e basic idea of this method is to produce adaptively the reverse signal equal to the external noise, to get pure signal by the addition of the received signal and the reverse signal
We propose to adopt the Delaunay triangulation and fuzzy c-means (FCM) clustering algorithm to analyze the acoustic signal and visualize noise inhibition in indoor environments. e visualization demonstration of noise inhibition is more conducive to examining the indoor effect and specific distribution of indoor noise reduction
Summary
An acoustic signal is the most widely used signal in real life. There is a lot of noise that disturbs the original acoustics signal. Excessive environmental noise harms peopleâs physiological and psychological health [1]. Long-term exposure to a high noisy environment will cause serious harm to peopleâs health and affect their daily life [2]. Statistics show that more than 70 percent of the worldâs urban residents are affected by noise pollution [3]. It is difficult to communicate with people in noisy environments. Even the phenomenon that you cannot hear or not hear clearly occurs. Erefore, acoustic enhancements have caused growing concern all over the world Even the phenomenon that you cannot hear or not hear clearly occurs. erefore, acoustic enhancements have caused growing concern all over the world
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