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GPR model-based adaptive sound masking system and method

An adaptive and sound masking technology, applied in the field of adaptive sound masking system based on GPR model, it can solve the problem that the selection and adjustment of optimal masking sound remain in manual experiments, the unified effective characteristics of background sound are not determined, and it is difficult to identify the internal physics. mechanism and other issues to achieve the effect of improving feasibility and practicability, saving cost and time, and improving feasibility and universality

Pending Publication Date: 2019-10-22
SHANGHAI ACADEMY OF ENVIRONMENTAL SCIENCES
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Problems solved by technology

This method does not determine the unified effective features of each background sound, nor does it establish a unified sound satisfaction model that depends on the effective feature parameters, and the selection and adjustment of the optimal masking sound is still at the stage of manual experiments
In fact, due to the large number of characteristic parameters that affect satisfaction, the sound satisfaction model is a complex high-dimensional, nonlinear system, and it is difficult for researchers to identify the internal physical mechanism of this complex system. Therefore, the traditional sound masking technology has the greatest impact. The difficulty lies in the establishment of the mechanism model of sound satisfaction

Method used

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  • GPR model-based adaptive sound masking system and method
  • GPR model-based adaptive sound masking system and method
  • GPR model-based adaptive sound masking system and method

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Embodiment 1

[0081] At intersections with heavy traffic and along urban arterial roads, for low, medium and high frequency traffic noise, determine the effective noise parameters through data processing Then, use the adaptive masking sound system to filter, in the masking sound database best masker At the same time, the corresponding optimal combination sound is obtained In this environment, the optimal masking sound the traffic noise Intervene so that people in the environment experience a combination of traffic and masking sounds The subjective satisfaction of the crowd in this environment is improved, and the annoyance of the crowd caused by traffic noise is reduced.

Embodiment 2

[0083] On the open-air platform of rail transit, the wheel-rail noise generated by the train entering and leaving the station Screening in the adaptive masking system to match the best masking sound and its combined sound At this station, use the masker right Intervene to get the optimal combined sound in this environment Make the spectrum of ambient sound more balanced, reduce the interference of the crowd, cooperate with the corresponding landscape posters or videos on the site, let the public feel as if they are in nature, and relieve the troubles caused by noise.

[0084] Based on the relevant laws of psychoacoustics, the present invention improves the living environment from the perspective of people's subjective feelings, improves the satisfaction of the crowd with the acoustic environment, and conforms to the concept of people-oriented; uses artificial intelligence related technologies to propose a proxy model for the subjective perception of noise, Constructe...

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Abstract

The invention relates to a GPR model-based adaptive sound masking system and an adaptive sound masking method. The system comprises a masking sound database, a sound satisfaction agent model and a self-adaptive masking sound screening subsystem. The masking sound database consists of various intermittent natural sounds such as insect buzzing sounds, bird buzzing sounds and water flow sounds. The sound satisfaction agent model is modeled by a Gaussian process regression algorithm. The self-adaptive masking sound screening subsystem is established based on the database and the agent model. The function of the system is to screen out the optimal masking sound in a database based on a unified sound satisfaction agent model for different low and medium frequency background noises, and obtain the corresponding combined sound and the satisfaction value thereof. The system achieves a good sound masking effect for various low and medium frequency noise environments. Compared with the prior art,the artificial intelligence method is applied to the sound masking technology for the first time. The complete self-adaptive sound masking system is constructed. The feasibility and universality of the sound masking technology are improved. The masking sound screening time is saved, and the cost of depending on manual adjustment in the traditional sound masking technology is reduced.

Description

technical field [0001] The invention relates to the technical field of environmental noise control, in particular to an adaptive sound masking system and method based on a GPR model. Background technique [0002] With the rapid development of urbanization, the problem of environmental noise pollution has attracted more and more public attention. Traditional noise reduction technologies focus on noise reduction of sound sources, sound absorption and insulation in the process of transmission, and sound insulation in the environment of noise receivers, which reduces the noise level of urban environments to a certain extent and improves the living environment of residents. However, due to the limitations of traditional noise reduction measures in the control of traffic noise and fixed equipment noise and the characteristics of low- and medium-frequency noises that are not easy to attenuate, urban environmental noise is often dominated by low- and medium-frequency characteristics...

Claims

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Application Information

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IPC IPC(8): G06F17/18G06F17/16
CPCG06F17/18G06F17/16
Inventor 洪晓丹张玮晨邵志跃祝文英周裕德储益萍应乐惇王晓楠夏丹刘长卿孙晓明
Owner SHANGHAI ACADEMY OF ENVIRONMENTAL SCIENCES
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