A directional loudspeaker testing device, method and loudspeaker
By fixing the speaker to a rotating platform and using a microphone with a programmable rotating bracket, setting precise test parameters, and combining them with a Bayesian optimization algorithm, the scenario adaptability problem of speaker directional testing was solved, resulting in more accurate test results and adaptive adjustments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SZ ZUNZHENG DIGITAL VIDEO CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-03
AI Technical Summary
Existing loudspeaker directional testing techniques lack scenario adaptability, resulting in a serious disconnect between test results and actual usage effects, and failing to provide reliable optimization basis.
The speaker under test is fixed at the center of a rotating platform, and the microphone is mounted on a programmable rotating bracket. Precise test parameters are set, including frequency range, excitation signal type, and angle scan parameters, and adaptive adjustments are made using a Bayesian optimization algorithm.
This improves the comprehensiveness and suitability of loudspeaker directional sound performance testing, ensuring that test results accurately reflect the needs of actual use scenarios and reducing reliance on human experience.
Smart Images

Figure CN122340422A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of loudspeaker technology, and in particular to a directional sound testing device, method, and loudspeaker. Background Technology
[0002] In the field of loudspeaker design and application, directional performance is a core indicator for measuring sound energy concentration, coverage accuracy, and anti-interference capability. Especially in scenarios such as public address systems, conference systems, and outdoor advertising, loudspeakers need to precisely control the direction of the sound beam to prevent energy diffusion into non-target areas (such as residential areas or adjacent rooms) while ensuring that the sound pressure level in the target area meets standards. However, existing directional testing technologies have systemic flaws, including a lack of scenario adaptability in test parameter settings and a disconnect between test conditions and actual applications. For example, outdoor directional broadcast sound columns need to suppress low frequencies below 120Hz to avoid disturbing residents, but the test still includes the 50Hz frequency band, leading to data redundancy and masking the true directivity. Another example is conference system loudspeakers, which need to accurately capture beamforming characteristics from 2–8kHz, but only use 1 / 3 octave steps (approximately 48 frequency points), failing to identify the sidelobe structure of key frequency bands. This results in a serious disconnect between test results and actual usage effects, failing to provide a reliable basis for product optimization.
[0003] In view of this, there is an urgent need for a directional loudspeaker testing device, method, and loudspeaker to at least address the above-mentioned shortcomings. Summary of the Invention
[0004] One of the objectives of this invention is to provide a directional sound testing device, method, and speaker for loudspeakers. The speaker under test is fixed at the center of a rotating platform, a microphone is mounted on a programmable rotating bracket, test parameters are set to accurately simulate different usage scenarios, test results are obtained, and the directional sound performance parameters of the loudspeaker are accurately measured, thereby improving the comprehensiveness and suitability of loudspeaker directional sound performance testing.
[0005] An embodiment of the present invention provides a directional sound testing device for a loudspeaker, comprising: The device setup module is used to fix the speaker under test in the center of the rotating platform, and at the same time, to mount the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test. The test parameter setting module is used to set test parameters; The testing module is used to perform angle scanning measurements based on test parameters and obtain test results.
[0006] Preferably, the test parameter setting module sets the test parameters, including: Set the frequency range according to the speaker's application scenario and parameters; The frequency step is selected based on acoustic wavelength, spatial resolution requirements, limitations of human hearing resolution, speaker type, directivity characteristics, and subsequent analysis applications. Select the type of stimulus signal based on the decision table chosen from the stimulus signal; The reference level is determined based on the speaker parameters, and then the input level is set based on the actual measurement verification method and the reference level. The angle scanning parameters are set according to the speaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio.
[0007] The directional sound testing device for a loudspeaker provided in this embodiment of the invention further includes: The adjustment module is used to determine the current sound field distribution based on the test results, and to make adaptive adjustments to the loudspeaker under test based on the current sound field distribution.
[0008] Preferably, the adjustment module determines the current sound field distribution based on the test results, and performs adaptive adjustments to the loudspeaker under test based on the current sound field distribution, including: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; Determine the ideal sound field template based on the speaker application scenario; The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. Calculate the sound field distance between the current sound field distribution and the target sound field distribution; The adjustable parameters of the speaker under test are abstracted into a control variable space; Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; The speaker under test is adjusted based on the optimal control variable space.
[0009] Preferably, based on the loudspeaker application scenario, an ideal sound field template is determined, including: The system calls upon the device's sensors to collect multimodal data from the user. This multimodal data includes: ambient background noise collected by the MEMS microphone array, spatial data scanned and identified by the camera, user location determined by UWB positioning, and recognition time period identified by the system clock. Multimodal data is input into the scene semantic engine, which outputs structured scene labels. Decode user intent based on user voice interaction process to determine the desired sound experience; Determine the candidate ideal sound field templates based on the desired sound experience, and associate the structured scene tags with the candidate ideal sound field templates; The structured scene tags of the speaker application scenario are matched with the structured scene tags of the associated candidate ideal sound field templates. If the match is successful, the corresponding associated candidate ideal sound field template is used as the ideal sound field template.
[0010] This invention provides a method for testing the directional sound of a loudspeaker, applied to the aforementioned directional sound testing apparatus for loudspeakers, comprising: Step 1: Fix the speaker under test in the center of the rotating platform. At the same time, mount the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test. Step 2: Set the test parameters; Step 3: Based on the test parameters, perform an angle scan measurement to obtain the test results.
[0011] Preferably, step 2: setting test parameters, including: Set the frequency range according to the speaker's application scenario and parameters; The frequency step is selected based on acoustic wavelength, spatial resolution requirements, limitations of human hearing resolution, speaker type, directivity characteristics, and subsequent analysis applications. Select the type of stimulus signal based on the decision table chosen from the stimulus signal; The reference level is determined based on the speaker parameters, and then the input level is set based on the actual measurement verification method and the reference level. The angle scanning parameters are set according to the speaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio.
[0012] The directional sound testing method for loudspeakers provided in this embodiment of the invention further includes: Step 4: Determine the current sound field distribution based on the test results, and make adaptive adjustments to the loudspeaker under test based on the current sound field distribution.
[0013] Preferably, step 4: Determine the current sound field distribution based on the test results, and perform adaptive adjustments to the tested loudspeaker based on the current sound field distribution, including: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; Determine the ideal sound field template based on the speaker application scenario; The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. Calculate the sound field distance between the current sound field distribution and the target sound field distribution; The adjustable parameters of the speaker under test are abstracted into a control variable space; Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; The speaker under test is adjusted based on the optimal control variable space.
[0014] This invention provides a loudspeaker that is tested using the directional sound testing method described above.
[0015] The beneficial effects of this invention are as follows: This invention fixes the speaker under test at the center of a rotating platform, mounts a microphone on a programmable rotating bracket, sets test parameters to accurately simulate different usage scenarios, obtains test results, and accurately measures the directional sound performance parameters of the speaker, thereby improving the comprehensiveness and suitability of speaker directional sound performance testing.
[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.
[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of a directional sound-emitting test device for a loudspeaker according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a directional sound emission test method for a loudspeaker according to an embodiment of the present invention. Detailed Implementation
[0019] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0020] This invention provides a directional sound testing device for loudspeakers, such as... Figure 1 As shown, it includes: The device setting module 1 is used to fix the speaker under test at the center of the rotating platform, and at the same time, to install the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test. In this embodiment, the loudspeaker under test is a loudspeaker product whose directivity performance needs to be evaluated. Fixing it to the center of the rotating platform means ensuring that the geometric center of the loudspeaker coincides with the rotation axis, avoiding measurement errors caused by eccentricity. The microphone is a sensor that collects changes in sound pressure in the air. The programmable rotating support is a precision robotic arm capable of automatically controlling angular movement according to a preset program.
[0021] Test parameter setting module 2 is used to set test parameters; In this embodiment, the test parameters include: frequency range, frequency step, excitation signal type, input level, angle scan parameters, measurement distance, average number of scans, and acquisition time. The test parameter setting module 2 performs the following operations: Set the frequency range according to the speaker's application scenario and parameters.
[0022] In this embodiment, the application scenario of the loudspeaker is the specific environment, purpose, or usage conditions under which the loudspeaker under test is used or deployed. For example, home audio systems prioritize high fidelity and wide frequency response, suitable for listening to music; public address systems in shopping malls and stations emphasize clarity and coverage, limiting high frequencies. The loudspeaker parameters are the technical specifications of the physical and electrical characteristics of the loudspeaker under test. Setting the frequency range refers to determining the measured frequency range—that is, the reasonable frequency range of audio signals—based on the environment in which the loudspeaker under test will be used and its own physical capabilities.
[0023] The frequency step is selected based on acoustic wavelength, spatial resolution requirements, limitations of human hearing resolution, speaker type, directivity characteristics, and subsequent analysis applications.
[0024] In this embodiment, the frequency step is the interval between two adjacent test frequency points in frequency sweep measurement or frequency domain analysis. Specifically, the appropriate frequency step is determined by multi-dimensional trade-offs and scientific decisions based on acoustic wavelength, spatial resolution requirements, human hearing resolution limitations, speaker type, directivity characteristics, and subsequent analysis applications.
[0025] The decision table is used to select the type of stimulus signal.
[0026] In this embodiment, the excitation signal selection decision table is a manually preset structured rule expression tool. During selection, based on multiple input conditions (e.g., the application scenario is indoor listening evaluation, the speaker type is a high-fidelity speaker, the ambient noise is low, and the measurement accuracy requirement is high), and according to the logical conditions of the decision table (e.g., the application scenario is indoor listening evaluation, the speaker type is a high-fidelity speaker, the ambient noise is low, and the measurement accuracy requirement is high, and the decision output excitation signal type is a sinusoidal sweep), the excitation signal type is automatically matched. The excitation signal type is the type of known input signal manually input to the speaker under test, such as: sinusoidal sweep, MLS (Maximum Length Sequence), and Chirp signal.
[0027] The reference level is determined based on the speaker parameters, and then the input level is set based on the actual measurement verification method and the reference level.
[0028] In this embodiment, the reference level is determined by consulting the speaker specifications based on the speaker parameters. For example, if the speaker's rated power is 100W, then the drive power is set to 50-80W. Based on the actual measurement verification method and according to the reference level, the input level is set as follows: a 1kHz sine wave is played at a distance of 1m in a 0° direction; the power is gradually increased, and the total harmonic distortion (THD) is monitored; when THD > 1%, the level is reduced to 0.8%–0.9%, and this level is the input level.
[0029] Based on the loudspeaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio, set the angle scanning parameters; the angle scanning parameters include: scanning range, angle resolution, scanning sequence, measurement distance, dwell time, acquisition duration, and average number of times.
[0030] In this embodiment, the scanning range is determined based on the intended use of the speaker in the application scenario. For example, if the speaker is used in a subway station, corridor, or high ceiling, and the sound column mainly covers the area in a forward fan shape with a narrow vertical direction, and ±30° already covers the typical listening area, then the scanning range is: horizontal: -90°~+90°, vertical: -30°~+30°. Another example: if the speaker is wall-mounted, facing a room, and the sound covers the entire room but avoids upward reflection from the ceiling, then the scanning range is: horizontal: -120°~+120°, vertical: -45°~+15°.
[0031] In this embodiment, the angular resolution is determined based on the spatial resolution requirements. For example, when measuring a sound column at 4 kHz: with a resolution of 10°, two side lobes may be missed, leading to a misjudgment as "smooth"; with a resolution of 5°, the main lobe may be captured, but the side lobe details are blurred; with a resolution of 2°, the main lobe width (-6dB) and the first side lobe (-18dB) are clearly displayed. Therefore, at frequencies above 1.5×(c / D), a resolution of ≤2° must be used, where c=343m / s and D is the maximum size of the loudspeaker.
[0032] In this embodiment, the scanning order is determined according to the mechanical stability requirements. For example, in order to avoid mechanical vibration, thermal drift and turntable inertia from interfering with subsequent measurements, the scanning is performed horizontally first and then vertically, starting from 0° and proceeding symmetrically towards the positive and negative sides.
[0033] In this embodiment, the measurement distance is determined based on far-field conditions. R is the measured distance. , This is the lowest testing frequency.
[0034] In this embodiment, the dwell time and acquisition duration are determined according to the signal stability requirements: a swept sine wave needs time to complete one full scan and allow the system to reach a steady state. For example, if the sweep time is 100 Hz–8kHz, 1 / 12 oct, rate 0.5 oct / s, and the typical duration is 12 seconds, then the recommended dwell time is 15–20 seconds per point.
[0035] In this embodiment, the averaging frequency is determined based on the real-time signal-to-noise ratio. Environmental noise, equipment vibration, and airflow disturbances all introduce random errors, which need to be suppressed by averaging multiple times. Averaging n times improves the signal-to-noise ratio by 10log. 10 If the average of (n) dB is 5, then averaging 5 times is equivalent to reducing the background noise by half. Therefore, all formal tests uniformly use the average of 5 times.
[0036] Test module 3 is used to perform angle scanning measurements based on test parameters and obtain test results.
[0037] In this embodiment, the test results are the raw data obtained through the above measurements and their derived analysis products, including: sound pressure level values at each angle and frequency; polar coordinate graphs showing the change of sound pressure with angle at different frequencies; coverage angle: the angular width between -6 dB points; sidelobe level; directivity index (DI) curve; and contour plots. These results are used to evaluate whether the loudspeaker meets the design goals (e.g., "horizontal coverage angle ≥ 80° at 1 kHz").
[0038] The working principle and beneficial effects of the above technical solution are as follows: This invention fixes the speaker under test at the center of a rotating platform, mounts a microphone on a programmable rotating bracket, sets test parameters to accurately simulate different usage scenarios, obtains test results, and accurately measures the directional sound performance parameters of the speaker, thereby improving the comprehensiveness and suitability of speaker directional sound performance testing.
[0039] This invention provides a directional sound testing device for loudspeakers, which further includes: The adjustment module is used to determine the current sound field distribution based on the test results, and to make adaptive adjustments to the loudspeaker under test based on the current sound field distribution.
[0040] In this embodiment, the current sound field distribution is a visual description of the distribution of test results in space, including spatial, frequency, and temporal dimensions. Adaptive adjustment refers to determining and applying the optimal tuning scheme. Specifically, the adjustment module performs the following operations: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; In this embodiment, the MEMS microphone is a microelectromechanical system microphone that enables distributed sound field sampling and is the core hardware component for constructing the sound field sensing network. The sound field sensing network is a spatial sampling network composed of multiple MEMS microphone nodes.
[0041] Determine the ideal sound field template based on the speaker application scenario; In this embodiment, the speaker application scenario refers to the actual purpose and environment in which the speaker is used, such as home theater, conference room, stage monitoring, etc. The ideal sound field template is the sound field standard under the speaker application scenario. For example, home theaters require surround sound and a large dynamic range; conference rooms require high speech intelligibility and uniform sound pressure levels; car audio systems require road noise cancellation and focusing on the front seats. Specifically, the ideal sound field template is determined according to the speaker application scenario, including: The system calls upon the device's sensors to collect multimodal data from the user. This multimodal data includes: ambient background noise collected by the MEMS microphone array, spatial data scanned and identified by the camera, user location determined by UWB positioning, and recognition time period identified by the system clock. Multimodal data is input into the scene semantic engine, which outputs structured scene labels. Decode user intent based on user voice interaction process to determine the desired sound experience; Determine the candidate ideal sound field templates based on the desired sound experience, and associate the structured scene tags with the candidate ideal sound field templates; The structured scene tags of the loudspeaker application scenario and the structured scene tags of the associated candidate ideal sound field templates are matched. If the match is successful, the corresponding associated candidate ideal sound field template is used as the ideal sound field template. The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. In this embodiment, the target sound field distribution is an achievable optimal sound field model calculated by combining an ideal sound field template, microphone position, and speaker parameters. The speaker parameters under test are all known parameters of the speaker under test.
[0042] Calculate the sound field distance between the current sound field distribution and the target sound field distribution.
[0043] In this embodiment, the sound field distance is the quantitative difference between the current sound field distribution and the target sound field distribution.
[0044] The adjustable parameters of the speaker under test are abstracted into a control variable space; In this embodiment, the adjustable parameters of the speaker under test are its internal adjustable settings, including hardware and DSP parameters. The control variable space is a multi-dimensional vector space abstracted from the adjustable parameters, with each dimension corresponding to a parameter.
[0045] Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; In this embodiment, dynamically adjusting the control variable space refers to updating the search strategy in real time based on the sound field distance, narrowing or moving the search area. For example, if the sound field distance decreases rapidly, the exploration range is narrowed (fine-tuning); if the sound field distance stagnates, the exploration range is expanded (to avoid getting trapped in local optima). The optimal control variable space refers to the set of parameter combinations obtained after optimization that minimizes the sound field distance.
[0046] The speaker under test is adjusted based on the optimal control variable space.
[0047] In this embodiment, adjusting the tested loudspeaker based on the optimal control variable space refers to writing the optimal parameters into the loudspeaker's DSP or control chip to change its sound characteristics.
[0048] The working principle and beneficial effects of the above technical solution are as follows: When the test results of a loudspeaker do not meet its application requirements, adjustments are necessary. Current methods for adjusting loudspeakers under test typically rely on the experience of the testers, resulting in poor stability. Therefore, this invention incorporates the current sound field distribution and performs adaptive adjustments to the loudspeaker under test based on this distribution.
[0049] Specifically, the current sound field distribution is first determined based on the test results and the location of the associated MEMS microphone in the sound field perception network. Multimodal user data collected historically by device sensors is input into the scene semantic engine to obtain structured scene labels. Simultaneously, user intent is decoded based on the user's voice interaction process to determine the desired sound experience. Based on this desired sound experience, candidate ideal sound field templates are determined and associated with the structured scene labels. Finally, scene matching is performed to determine the ideal sound field template for the speaker's application scenario.
[0050] The target sound field distribution is determined based on an ideal sound field template. The sound field distance between the current sound field distribution and the target sound field distribution is calculated. Simultaneously, the adjustable parameters of the speaker under test are abstracted into a control variable space. Based on a Bayesian optimization algorithm and according to the sound field distance, the control variable space is dynamically adjusted to determine the optimal control variable space. The speaker under test is then adjusted based on this optimal control variable space. This invention improves the debugging accuracy when the test results of the speaker under test are unsuitable. The debugging process does not rely on human experience and is more intelligent.
[0051] like Figure 2 As shown, this invention provides an embodiment of a method for testing the directional sound of a loudspeaker, and the directional sound testing apparatus for a loudspeaker applied to the aforementioned embodiment includes: Step 1: Fix the speaker under test in the center of the rotating platform. At the same time, mount the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test.
[0052] Step 2: Set test parameters; Step 2 specifically includes: Step 21: Set the frequency range according to the speaker's application scenario and parameters; Step 22: Select the frequency step based on acoustic wavelength, spatial resolution requirements, human hearing resolution limitations, speaker type, directivity characteristics, and subsequent analysis applications; Step 23: Select the decision table based on the stimulus signal and choose the stimulus signal type; Step 24: Determine the reference level based on the speaker parameters, and then set the input level based on the actual measurement verification method and the reference level; Step 25: Set the angle scanning parameters according to the speaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio.
[0053] Step 3: Based on the test parameters, perform an angle scan measurement to obtain the test results; Step 4: Determine the current sound field distribution based on the test results, and make adaptive adjustments to the tested loudspeaker based on the current sound field distribution, including: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; Determine the ideal sound field template based on the speaker application scenario; The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. Calculate the sound field distance between the current sound field distribution and the target sound field distribution; The adjustable parameters of the speaker under test are abstracted into a control variable space; Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; Adjust the speaker under test based on the optimal control variable space; Among them, determining the ideal sound field template based on the loudspeaker application scenario includes: The system calls upon the device's sensors to collect multimodal data from the user. This multimodal data includes: ambient background noise collected by the MEMS microphone array, spatial data scanned and identified by the camera, user location determined by UWB positioning, and recognition time period identified by the system clock. Multimodal data is input into the scene semantic engine, which outputs structured scene labels. Decode user intent based on user voice interaction process to determine the desired sound experience; Determine the candidate ideal sound field templates based on the desired sound experience, and associate the structured scene tags with the candidate ideal sound field templates; The structured scene tags of the speaker application scenario are matched with the structured scene tags of the associated candidate ideal sound field templates. If the match is successful, the corresponding associated candidate ideal sound field template is used as the ideal sound field template.
[0054] The working principle and beneficial effects of the above technical solution are as follows: This invention fixes the speaker under test at the center of a rotating platform, mounts a microphone on a programmable rotating bracket, sets test parameters to accurately simulate different usage scenarios, obtains test results, and accurately measures the directional sound performance parameters of the speaker, thereby improving the comprehensiveness and suitability of speaker directional sound performance testing.
[0055] When the test results of a loudspeaker do not meet its application requirements, adjustments are necessary. Current methods for adjusting loudspeakers under test typically rely on the experience of the testers, resulting in poor stability. Therefore, this invention incorporates the current sound field distribution and performs adaptive adjustments to the loudspeaker under test based on this distribution.
[0056] Specifically, the current sound field distribution is first determined based on the test results and the location of the associated MEMS microphone in the sound field perception network. Multimodal user data collected historically by device sensors is input into the scene semantic engine to obtain structured scene labels. Simultaneously, user intent is decoded based on the user's voice interaction process to determine the desired sound experience. Based on this desired sound experience, candidate ideal sound field templates are determined and associated with the structured scene labels. Finally, scene matching is performed to determine the ideal sound field template for the speaker's application scenario.
[0057] The target sound field distribution is determined based on an ideal sound field template. The sound field distance between the current sound field distribution and the target sound field distribution is calculated. Simultaneously, the adjustable parameters of the speaker under test are abstracted into a control variable space. Based on a Bayesian optimization algorithm and according to the sound field distance, the control variable space is dynamically adjusted to determine the optimal control variable space. The speaker under test is then adjusted based on this optimal control variable space. This invention improves the debugging accuracy when the test results of the speaker under test are unsuitable. The debugging process is independent of human experience and is more intelligent.
[0058] This invention provides a loudspeaker, which is tested using the directional sound testing method described in the above embodiments.
[0059] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A directional sound testing device for a loudspeaker, characterized in that, include: The device setup module is used to fix the speaker under test in the center of the rotating platform, and at the same time, to mount the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test. The test parameter setting module is used to set test parameters; The testing module is used to perform angle scanning measurements based on test parameters and obtain test results.
2. The directional sound testing device for a loudspeaker as described in claim 1, characterized in that, The test parameter setting module allows you to set test parameters, including: Set the frequency range according to the speaker's application scenario and parameters; The frequency step is selected based on acoustic wavelength, spatial resolution requirements, limitations of human hearing resolution, speaker type, directivity characteristics, and subsequent analysis applications. Select the type of stimulus signal based on the decision table chosen from the stimulus signal; The reference level is determined based on the speaker parameters, and then the input level is set based on the actual measurement verification method and the reference level. The angle scanning parameters are set according to the speaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio.
3. The directional sound testing device for a loudspeaker as described in claim 1, characterized in that, Also includes: The adjustment module is used to determine the current sound field distribution based on the test results, and to make adaptive adjustments to the loudspeaker under test based on the current sound field distribution.
4. The directional sound testing device for a loudspeaker as described in claim 3, characterized in that, The adjustment module determines the current sound field distribution based on the test results, and performs adaptive adjustments to the tested loudspeaker based on the current sound field distribution, including: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; Determine the ideal sound field template based on the speaker application scenario; The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. Calculate the sound field distance between the current sound field distribution and the target sound field distribution; The adjustable parameters of the speaker under test are abstracted into a control variable space; Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; The speaker under test is adjusted based on the optimal control variable space.
5. The directional sound testing device for a loudspeaker as described in claim 4, characterized in that, Based on the speaker application scenario, determine the ideal sound field template, including: The system calls upon the device's sensors to collect multimodal data from the user. This multimodal data includes: ambient background noise collected by the MEMS microphone array, spatial data scanned and identified by the camera, user location determined by UWB positioning, and recognition time period identified by the system clock. Multimodal data is input into the scene semantic engine, which outputs structured scene labels. Decode user intent based on user voice interaction process to determine the desired sound experience; Determine the candidate ideal sound field templates based on the desired sound experience, and associate the structured scene tags with the candidate ideal sound field templates; The structured scene tags of the speaker application scenario are matched with the structured scene tags of the associated candidate ideal sound field templates. If the match is successful, the corresponding associated candidate ideal sound field template is used as the ideal sound field template.
6. A method for testing the directional sound output of a loudspeaker, characterized in that, include: Step 1: Fix the speaker under test in the center of the rotating platform. At the same time, mount the microphone on the programmable rotating bracket so that the center of the microphone is aligned with the center of the speaker under test. Step 2: Set the test parameters; Step 3: Based on the test parameters, perform an angle scan measurement to obtain the test results.
7. The method for testing the directional sound of a loudspeaker as described in claim 6, characterized in that, Step 2: Set the test parameters, including: Set the frequency range according to the speaker's application scenario and parameters; The frequency step is selected based on acoustic wavelength, spatial resolution requirements, limitations of human hearing resolution, speaker type, directivity characteristics, and subsequent analysis applications. Select the type of stimulus signal based on the decision table chosen from the stimulus signal; The reference level is determined based on the speaker parameters, and then the input level is set based on the actual measurement verification method and the reference level. The angle scanning parameters are set according to the speaker application scenario, spatial resolution requirements, mechanical stability requirements, far-field conditions, signal stability requirements, and real-time signal-to-noise ratio.
8. The method for testing the directional sound of a loudspeaker as described in claim 6, characterized in that, Also includes: Step 4: Determine the current sound field distribution based on the test results, and make adaptive adjustments to the loudspeaker under test based on the current sound field distribution.
9. The method for testing the directional sound of a loudspeaker as described in claim 8, characterized in that, Step 4: Determine the current sound field distribution based on the test results, and make adaptive adjustments to the tested loudspeaker based on the current sound field distribution, including: Based on the test results and the location of the associated MEMS microphone in the sound field sensing network, the current sound field distribution is determined; Determine the ideal sound field template based on the speaker application scenario; The target sound field distribution is determined based on the ideal sound field template, the position of the MEMS microphone in the sound field sensing network, and the parameters of the loudspeaker under test. Calculate the sound field distance between the current sound field distribution and the target sound field distribution; The adjustable parameters of the speaker under test are abstracted into a control variable space; Based on the Bayesian optimization algorithm, the control variable space is dynamically adjusted according to the sound field distance to determine the optimal control variable space; The speaker under test is adjusted based on the optimal control variable space.
10. A loudspeaker, characterized in that, The test was conducted using the directional speaker testing method described in claims 6-9.