Sound positioning device with noise processing function
By designing the spatial coordinate bracket and bandpass filter of four microphones, the problems of noise and reverberation interference are solved, and the precise positioning of the sound source in noisy environments is achieved, which is suitable for a variety of scenarios.
Patent Information
- Application Number
- CN202421403932.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-19
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2034-06-19
AI Technical Summary
The existing technology has interference factors such as noise and reverberation in the actual environment, which leads to the weak noise resistance performance of the sound source acquisition system and inaccurate sound source signal positioning.
A spatial coordinate bracket consisting of four microphones, combined with a noise reduction device and a bandpass filter, is used to design a receiving device to attenuate ambient noise and retain the audio signal of the specified sound source.
It achieves precise positioning of sound sources of specific frequencies in noisy environments, reduces computational complexity and has wide applicability.
Smart Images
Figure CN223486169U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of noise treatment technology, and in particular to a sound positioning device with noise treatment. Background Technology
[0002] When locating sound, sound acquisition and processing are crucial. Microphones are often used as sound sensors to convert sound signals into electrical signals. However, considering that the sound signal acquired by a single microphone contains limited information and a lot of noise, microphone arrays have been adopted to complete sound acquisition and processing.
[0003] However, during the implementation of the above technical solutions, at least the following technical problems were found: there are interference factors such as noise and reverberation in the actual environment, and the sound source acquisition systems on the market still have problems such as weak noise resistance and inaccurate positioning of sound source signals acquired by the device. Utility Model Content
[0004] (1) Technical problems solved
[0005] To address the shortcomings of existing technologies, this utility model provides a sound localization device with noise processing, which solves the technical problems of existing sound source acquisition systems having weak noise resistance and inaccurate sound source signal localization when there are interference factors such as noise and reverberation in the actual environment.
[0006] (2) Technical solution
[0007] To achieve the above objectives, this utility model provides the following technical solution:
[0008] A sound localization device with noise processing includes a microphone, the microphone being equipped with a noise reduction mechanism to facilitate the localization and noise reduction of the sound source, the noise reduction mechanism including a receiving device, the number of microphones being four, each of the four microphones being equipped with a data acquisition device, and the receiving device being equipped with a noise reduction device.
[0009] Preferably, the noise reduction device is equipped with a bandpass filter.
[0010] Preferably, the noise reduction device is further equipped with a computing device.
[0011] (3) Beneficial effects
[0012] 1. This device has low algorithm complexity and low computational cost, and can be applied to sound noise reduction and localization in various scenarios. It has wide adaptability and is quite suitable for practical applications.
[0013] 2. This utility model designs a noise reduction device and a bandpass filter. The bandpass filter can attenuate environmental noise and retain only the audio signal generated by a specified sound source, thereby enabling the localization of a sound source of a specific frequency in a noisy environment. Attached Figure Description
[0014] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and to implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.
[0015] Figure 1 This is a planar structural diagram of the present invention;
[0016] Figure 2 This is a structural diagram of the system flow of this utility model;
[0017] Figure 3 This is a waveform diagram of an audio signal.
[0018] Legend: 1. Microphone; 11. Acquisition device; 2. Receiving device; 21. Bandpass filter; 22. Noise reduction device; 23. Computing device. Detailed Implementation
[0019] This application provides a sound localization device with noise processing, which effectively solves the technical problems of existing sound source acquisition systems, such as weak noise resistance and inaccurate localization of sound source signals acquired by the device, in real-world environments where there are noise, reverberation and other interference factors. This device incorporates a noise reduction device 22 and a bandpass filter 21. The bandpass filter 21 can attenuate ambient noise and retain only the audio signal generated by the specified sound source, thereby enabling the localization of sound sources of specific frequencies in noisy environments.
[0020] Example
[0021] like Figure 1 , Figure 2 , Figure 3 The technical solution described in this application embodiment effectively addresses the technical problem that existing sound source acquisition systems still suffer from weak noise resistance and inaccurate sound source signal localization in real-world environments due to noise, reverberation, and other interference factors. The overall approach is as follows: A sound localization device with noise processing includes a microphone 1. Each microphone 1 is equipped with a noise reduction mechanism for facilitating sound source localization and noise reduction. The noise reduction mechanism includes a receiving device 2. There are four microphones 1, each equipped with a data acquisition device 11. This device uses a spatial coordinate support composed of four microphones 1. Figure 2As shown, in a Cartesian coordinate system, microphones 1 form a Cartesian coordinate support arrangement on the planes containing the X and Y axes. The spatial coordinates of the four microphones 1 are: Micro0(0,0,0), Micro1(d,0,0), Micro2(0,d,0), Micro3(0,0,d). S is a sound source in space with coordinates S(x,y,z) and a distance r from the origin. The relative time differences between the sound source signal reaching Micro0, Micro1, Micro2, and Micro3 are respectively. Let the speed of sound wave propagation along the medium be .
[0022] The receiving device 2 is equipped with a noise reduction device 22, a bandpass filter 21, and a computing device 23. The function of this device is to measure the spatial coordinates of a specified sound source. However, since it is impossible to guarantee that the measurement process will not be affected by ambient noise, the audio signal obtained by the sound sensor is composed of the sound source audio signal and the noise audio signal. Therefore, we designed a receiving device 2 on the device, which can retain the audio signal generated by the specified sound source and significantly attenuate the audio signal generated by the noise.
[0023] In view of the problems existing in the prior art, the present invention provides a sound localization device with noise processing. The device is designed with a noise reduction device 22 and a bandpass filter 21. The bandpass filter 21 can attenuate the ambient noise and retain only the audio signal generated by the specified sound source, thereby enabling the localization of a sound source of a specific frequency in a noisy environment.
[0024] Working principle:
[0025] This device uses a spatial coordinate support composed of four microphones, such as... Figure 2 As shown, in a Cartesian coordinate system, microphones 1 form a Cartesian coordinate support arrangement in the planes containing the X and Y axes. The spatial coordinates of the four microphones 1 are: Micro0(0,0,0), Micro1(d,0,0), Micro2(0,d,0), and Micro3(0,0,d). S is a sound source in space, with coordinates S(x,y,z) and a distance r from the origin. The relative time differences between the sound source signal reaching Micro0, Micro1, Micro2, and Micro3 are Δt1 = t1 - t2. 0 ,Δt 2 =t2-t0,Δt3=t3-t 0 Let the speed at which the sound wave propagates along the medium be v.
[0026] By using cylindrical coordinates x = ρcosθ, y = ρsinθ, z = z, we can obtain the following equations.
[0027]
[0028] At that time, Δt 1 ,Δt 2 ,Δt 3 After obtaining the solution, the system of equations (1) is solved.
[0029] get
[0030] Substituting the values obtained from the above formula into the coordinate transformation formulas x = ρcosθ, y = ρsinθ, z = z, we can obtain the rectangular coordinates of the sound source in space. An acquisition device 11 was designed on the experimental setup. Using the bandpass filter 21 on the acquisition device 11, environmental noise can be attenuated, allowing only the audio signal generated by the specified sound source to be retained. This enables the localization of a sound source at a specific frequency in a noisy environment. The basic characteristics of a sound signal are loudness, pitch, and timbre. A sound composed of multiple sounds of different loudness and pitch is called a complex tone. The lowest frequency sound component in a complex tone is the fundamental tone, and the rest are overtones. Most sounds in daily life are complex tones, so the audio signals generated by microphone 1 are mostly complex signals. A complex signal can be composed of several basic signals superimposed, such as... Figure 3 As shown, according to the Fourier series principle, any periodic function can be represented by an infinite series of sine and cosine functions. Therefore, any periodic signal can be represented by an infinite series of sine and cosine signals. Since audio signals are generated from sound signals, and sound signals are periodic signals, audio signals are also periodic signals. Therefore, we can decompose audio signals into a superposition of countless sound signals with different loudness and pitch using Fourier series expansion.
[0031] Noise Filtering Principle: This device measures the spatial coordinates of a specified sound source. However, because it cannot guarantee that the measurement will be unaffected by ambient noise, the audio signal obtained by the sound sensor is a superposition of the sound source's audio signal and the noise's audio signal. Therefore, we designed a receiving device 2 on the device, which can retain the audio signal generated by the specified sound source and significantly attenuate the audio signal generated by the noise. Although the filtering system cannot completely eliminate the noise component, the attenuated noise component is insufficient to trigger the MCU's external interrupt measurement, thus achieving the effect of eliminating noise interference.
[0032] Finally, it should be noted that the above embodiments are merely examples for the purpose of illustrating the present invention and are not intended to limit the embodiments. Those skilled in the art will readily appreciate that other variations or modifications based on the above description are possible. It is not necessary and impossible to provide an exhaustive list of all possible embodiments. However, any obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.
Claims
1. A sound localization device with noise processing, comprising a microphone (1), characterized in that, The microphone (1) is equipped with a noise reduction mechanism that facilitates the localization and noise reduction of the sound source; The noise reduction mechanism includes a receiving device (2), four microphones (1), each of the four microphones (1) is equipped with a data acquisition device (11), the receiving device (2) is equipped with a noise reduction device (22), the noise reduction device (22) is equipped with a bandpass filter (21), and the noise reduction device (22) is also equipped with a computing device (23).