A method and device for debugging headphones in transparent mode to prevent howling

Abstract

The present application discloses a headphone debugging method and device for preventing howling in transparent mode, which relates to the field of headphone debugging technology, including steps S1-S6, and also including a test speaker, a development board / MIC power supply device, an audio analysis device and a PC device. The test speaker is a noise sounding device; the development board / MIC power supply device is used to provide power input to the MIC that picks up the sound of the headphone speaker. A debugging method is implemented to suppress the howling caused by blocking the feedforward microphone through filter parameters in transparent mode, thereby picking up most of the surrounding environmental sounds, which can be significantly improved and provide users with a good user experience; the frequency domain analysis of the FFT spectrum waveform of the howling generated by the transparent mode is performed to obtain the frequency point where the howling is generated; by debugging the filter parameters, the frequency point where the howling is generated by blocking the feedforward microphone is suppressed by the filter, retaining the transparent mode received by most of the environment, and providing users with a good environmental transparency experience.

Description

Technical Field

[0001] This application relates to the field of headphone tuning technology, and in particular to a headphone tuning method and apparatus for anti-feedback in transparency mode. Background Technology

[0002] Headphones are a pair of transducers that receive electrical signals from a media player or receiver and convert them into audible sound waves using speakers placed close to the ears. Headphones are generally detachable from the media player, connected via a plug. The advantage is that they allow for private listening without disturbing others; they also isolate ambient noise, which is helpful for people using them in noisy environments such as recording studios, bars, while traveling, or exercising. Originally used for telephones and radios, headphones are now widely used with mobile phones, portable music players, radios, portable game consoles, and digital audio players due to the prevalence of portable electronic devices.

[0003] With the rapid development of modern software development and digital signal processing technology, headphones have become the mainstream development trend in the headphone industry. Currently, giants including Huawei, Harman, and Bose have all joined the research and development of noise-canceling headphones. Besides reducing external noise, noise-canceling headphones also need to be aware of external sounds in certain scenarios, such as announcements on buses or subways, or horns honking while crossing the street. This allows the headphones to monitor the surrounding environment in real time and reduce noise cancellation for a better user experience. However, in actual headphone design, due to defects in the structural cavity design, or because the feedforward microphone is not completely sealed, feedback can occur when the headphone is in transparency mode and the feedforward microphone is blocked.

[0004] It is significant to propose a headphone tuning method and device for anti-feedback in transparency mode to ensure that most of the ambient sounds picked up by the headphones are not weakened, thus satisfying the user's good listening experience and saving costs in the design and development stage. Therefore, we need to propose a headphone tuning method and device for anti-feedback in transparency mode. Summary of the Invention

[0005] This application provides a headphone tuning method for anti-feedback in transparency mode. The tuning process for noise-canceling headphones in transparency mode includes the following steps:

[0006] Step S1: The test speaker is placed next to the headphone L. The PC device controls the test speaker to play noise by connecting to the audio analysis device.

[0007] Step S2: Turn off the earphone under test, place the L and R sides of the earphone at the MICs on the L and R sides respectively, play noise through S1, and the frequency response curve P1-L received by the MIC on the L side can be collected on the PC.

[0008] Step S3: Power on the earphone under test and enable transparency mode. Block the hole of the feedforward microphone that receives ambient sound. Play noise through S1. The time domain graph F1_L of the FFT spectrum waveform received by the L-side MIC can be collected on the PC.

[0009] Step S4: After analyzing and obtaining the frequency point that generates howling, howling can be prevented by adding gain suppression to the filter design at that frequency point.

[0010] Step S5: After adding a set of filter parameters, enable transparency mode and test the headphones L. mic Received frequency response curve A1_L;

[0011] Step S6: After obtaining the S5 curve, block the feedforward microphone and check if feedback occurs. If feedback still exists on the L side of the earphone, adjust the filter gain at that frequency until feedback is eliminated. At this point, we can obtain the optimal filter parameters for suppressing feedback.

[0012] The embodiments of this application adopt the following technical solution, wherein the test speaker is configured as an active speaker or a passive speaker.

[0013] The embodiments of this application adopt the following technical solution: the test speaker is provided in two sets, and the two sets of test speakers are respectively used for the L side and R side of the noise-canceling headphones.

[0014] The embodiments of this application adopt the following technical solution, wherein the noise played by the test speaker includes pink noise and white noise.

[0015] The embodiments of this application adopt the following technical solution, wherein the filter is configured as a digital filter or an analog filter.

[0016] The embodiments of this application adopt the following technical solution: the noise-canceling headphones are configured as TWS headphones, neckband headphones, or over-ear headphones with feedforward microphones.

[0017] This application embodiment also provides a headphone tuning device for anti-feedback in transparency mode, including:

[0018] A test speaker, which is a noise-generating device used to play noise;

[0019] The development board / MIC power supply device is used to provide power input to the MIC that picks up the sound from the headphone speaker, and can output the audio signal received by the MIC to the audio analysis device.

[0020] An audio analysis device, which is an instrument for processing and analyzing digital signals and can acquire the frequency response of an input signal;

[0021] The PC device is used to connect to and control the audio analysis device to play noise to obtain the frequency response curve of the input signal, and can be used to adjust the filter parameters of the transparency mode.

[0022] The embodiments of this application adopt the following technical solution: the development board / MIC power supply device includes a lithium battery with a capacity of at least 10000mAh, and the development board / MIC power supply device includes a MIC smart power socket with multiple charging interfaces.

[0023] The embodiments of this application adopt the following technical solution, wherein the audio analysis device further includes the functions of FFT spectrum analysis and sound pressure level measurement.

[0024] The embodiments of this application adopt the following technical solution, wherein the PC device is set as a laptop computer with a WINDOWS system.

[0025] The above-described technical solutions adopted in the embodiments of this application can achieve the following beneficial effects:

[0026] 1. Implement a method to suppress the feedback caused by blocking the feedforward microphone in transparency mode, thereby picking up most of the surrounding ambient sound, which can significantly improve the user experience.

[0027] 2. Frequency domain analysis of the FFT spectrum waveform of the received transparent mode that generates howling is obtained; by adjusting the filter parameters, the frequency point that generates howling by blocking the feedforward microphone is suppressed by the filter, while retaining most of the transparent mode received in the environment, providing users with a good environmental transparency experience. Attached Figure Description

[0028] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0029] Figure 1 This is a flowchart of the headphone tuning method for anti-feedback in transparency mode according to the present invention;

[0030] Figure 2 This is a system block diagram of the headphone tuning device for anti-feedback in transparent mode according to the present invention;

[0031] Figure 3 This is a schematic diagram of the time-domain analysis of the FFT spectrum received by the L-side MIC in the headphone debugging method for anti-feedback in transparency mode of the present invention. Detailed Implementation

[0032] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0033] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0034] Example

[0035] like Figure 1 As shown, the debugging process for anti-feedback on noise-canceling headphones in transparency mode is as follows. Assuming the feedback is generated on earpiece L, this example illustrates a method for debugging anti-feedback headphones in transparency mode. The debugging process for anti-feedback on noise-canceling headphones in transparency mode includes the following steps:

[0036] Step S1: The test speaker is placed next to the headphone L. The PC device controls the test speaker to play noise by connecting to the audio analysis device.

[0037] Step S2: Turn off the earphone under test, place the L and R sides of the earphone at the MICs on the L and R sides respectively, play noise through S1, and the frequency response curve P1-L received by the MIC on the L side can be collected on the PC.

[0038] Step S3: Power on the earphone under test and enable transparency mode. Block the hole of the feedforward microphone that receives ambient sound. Play noise through S1. The time domain graph F1_L of the FFT spectrum waveform received by the L-side MIC can be collected on the PC.

[0039] Step S4: After analyzing and obtaining the frequency point that generates howling, howling can be prevented by adding gain suppression to the filter design at that frequency point.

[0040] Step S5: After adding a set of filter parameters, enable transparency mode and test the headphones L. mic Received frequency response curve A1_L;

[0041] Step S6: After obtaining the S5 curve, block the feedforward microphone and check if feedback occurs. If feedback still exists on the L side of the earphone, adjust the filter gain at that frequency until feedback is eliminated. At this point, we can obtain the optimal filter parameters for suppressing feedback.

[0042] like Figure 3As shown in the figure, the content is a schematic diagram of the time domain analysis of the FFT spectrum received by an L-side MIC (for illustration only). When we block the feedforward microphone to produce feedback, we can see that the sound pressure value of a certain frequency point increases. At this time, we can find the frequency point that produces feedback.

[0043] The test speaker is configured as an active speaker or a passive speaker; there are two sets of test speakers, and the two sets of test speakers are used for the L side and R side of the noise-canceling headphones respectively; the noise played by the test speaker includes pink noise and white noise; the filter is configured as a digital filter or an analog filter; the noise-canceling headphones are configured as TWS headphones, neckband headphones, or over-ear headphones with feedforward microphones.

[0044] like Figure 2 As shown in the embodiment of this application, an anti-feedback headphone adjustment device in transparency mode is also provided, including:

[0045] A test speaker, which is a noise-generating device used to play noise;

[0046] The development board / MIC power supply device is used to provide power input to the MIC that picks up the sound from the headphone speaker, and can output the audio signal received by the MIC to the audio analysis device.

[0047] An audio analysis device, which is an instrument for processing and analyzing digital signals and can acquire the frequency response of an input signal;

[0048] The PC device is used to connect to and control the audio analysis device to play noise to obtain the frequency response curve of the input signal, and can be used to adjust the filter parameters of the transparency mode.

[0049] The development board / MIC power supply device includes a lithium battery with a capacity of at least 10000mAh and a MIC smart power socket with multiple charging interfaces; the audio analysis device also includes FFT spectrum analysis and sound pressure level measurement functions; the PC device is set to a Windows laptop computer.

[0050] In summary, this method implements a filter parameter suppression technique to address feedback caused by a blocked feedforward microphone in transparency mode. This technique effectively captures most ambient sounds, significantly improving the user experience. Frequency domain analysis of the FFT spectrum waveform of the received signal in transparency mode reveals the frequency causing the feedback. By adjusting the filter parameters, the frequency causing feedback when the feedforward microphone is blocked is suppressed, preserving most ambient sounds and providing a superior environmental transparency experience for the user.

[0051] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0052] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of this application should be included within the scope of the claims of this application.

Claims

1. A headphone tuning method for anti-feedback in transparency mode, characterized in that, The debugging process for noise-canceling headphones in transparency mode to prevent feedback includes the following steps: Step S1: Place the test speaker on the L side of the headphones. The PC device controls the test speaker to play noise through an audio analysis device. Step S2: Turn off the headphones. Place the L and R sides of the headphones at the microphones on the L and R sides respectively. Play noise through S1. The PC device collects the frequency response curve P1-L received by the microphone on the L side. Step S3: Turn on the headphones and enable transparency mode. Block the aperture of the feedforward microphone to receive ambient sound. Play noise through S1. The PC device collects the FF received by the microphone on the L side. The time-domain plot of the T-spectrum waveform is F1_L; Step S4: After analyzing and obtaining the frequency point that generates howling, suppress the gain of this frequency point in the filter design to prevent howling from occurring; Step S5: After adding a set of filter parameters, turn on the transparency mode and test the frequency response curve A1_L received by the microphone on the L side of the earphone; Step S6: After obtaining the curve in S5, block the feedforward microphone again and check whether howling occurs. If howling still exists on the L side of the earphone, adjust the filter gain of the frequency point that generates howling obtained in step S4 until howling does not occur. At this time, the optimal filter parameters for suppressing howling are obtained.

2. The headphone tuning method for anti-feedback in transparency mode according to claim 1, characterized in that, The test speaker is set to either an active speaker or a passive speaker.

3. The headphone tuning method for anti-feedback in transparency mode according to claim 2, characterized in that, The test speakers are set up in two sets, and the two sets of test speakers are used for the L side and R side of the noise-canceling headphones respectively.

4. The headphone tuning method for anti-feedback in transparency mode according to claim 3, characterized in that, The noise played by the test speaker included pink noise and white noise.

5. The headphone tuning method for anti-feedback in transparency mode according to claim 1, characterized in that, The filter is set as a digital filter or an analog filter.

6. A headphone tuning method for anti-feedback in transparency mode according to any one of claims 1-5, characterized in that, The noise-canceling headphones are configured as TWS headphones, neckband headphones, and over-ear headphones with feedforward microphones.

7. A headphone tuning device for anti-feedback in transparency mode, which implements the headphone tuning method for anti-feedback in transparency mode as described in claim 6, is characterized in that... include: A test speaker, which is a noise-generating device used to play noise; The development board / MIC power supply device is used to provide power input to the MIC that picks up the sound from the headphone speaker, and outputs the audio signal received by the MIC to the audio analysis device. An audio analysis device, which is an instrument for processing and analyzing digital signals and acquiring the frequency response of the input signal; and a PC device, which is used to connect to and control the audio analysis device to play noise to obtain the frequency response curve of the input signal, and to adjust the filter parameters of the transparency mode.

8. The headphone tuning device for anti-feedback in transparency mode according to claim 7, characterized in that, The development board / MIC power supply device includes a lithium battery with a capacity of at least 10000mAh, and the development board / MIC power supply device includes a MIC smart power socket with multiple charging interfaces.

9. The headphone tuning device for anti-feedback in transparency mode according to claim 7, characterized in that, The audio analysis device also includes FFT spectrum analysis and sound pressure level measurement functions.

10. The headphone tuning device for anti-feedback in transparency mode according to claim 7, characterized in that, The PC device is configured as a Windows laptop.

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