Software compensation method and system for recording loudness of wireless microphone

Abstract

The invention discloses a software compensation method and system for recording loudness of a wireless microphone, and the method comprises the steps: firstly, recording frequency response curves of a gold microphone and a finished microphone through measurement equipment; then, calculating the energy difference between the two and carrying out negation on the energy difference; by calling an API, the energy difference value is written into the chip, and it is ensured that the frequency response difference is controlled within + / -1db. In addition, the system also includes a chip storage compensation value and a user interface, allowing a user to view and adjust the compensation value. According to the method, the sound quality stability of the microphone is improved, the difference between each individual microphone and the gold machine microphone is obtained by calculating the relationship of the sound energy of the microphone, the difference between the microphone and the gold machine frequency response is compensated by writing software to the chip Flash, and the frequency response difference between the microphone and the gold machine microphone can be controlled to be + / -1db.

Description

Technical Field

[0001] The present invention relates to the field of audio and video technology, and in particular to a software compensation method and system for loudness recorded by a wireless microphone. Background Art

[0002] In the audio-visual education industry and the live broadcast industry, in order to ensure that every student or listener can hear clear and consistent sound, teachers or anchors usually use wireless microphones to collect sound signals and transmit them to the computer, which is then output by the computer's speakers. However, in real applications, due to factors such as differences in the production and assembly of microphone components, even microphones of the same model may have differences in sound loudness. According to the current level of technology, the difference in incoming materials between microphone components is usually ±3db. After patching and assembly, the difference in finished wireless microphones may expand to ±5db. This difference may not be noticeable in some application environments, such as KTV or outdoor scenes, but in teaching or live broadcast environments, a 5db sound difference may cause obvious discomfort to the audience. If the microphone flows to the market and presents this difference, it may cause teachers or anchors to adjust their speaking volume to adapt to the performance differences of the microphones.

[0003] To solve this problem, many manufacturers choose to accept the differences in processing and assembly from microphone manufacturers without performing loudness compensation. This approach does not guarantee a consistent end-user experience.

[0004] In addition, although there are some methods to compensate for the sound, they may not provide a simple and efficient solution to make the sound level of wireless microphones consistent. In particular, the existing technology often does not use advanced methods such as Fourier transform to calculate and compensate for energy differences.

[0005] Therefore, an effective, simple and economical method is needed to reduce the difference in sound volume of finished microphones through software compensation, so as to ensure that the same model of wireless microphones can achieve auditory consistency when transmitting the voice of a teacher or anchor. Summary of the invention

[0006] In order to solve the above problems, the present invention provides a software compensation method and system for wireless microphone recording loudness. By calculating the relationship between the microphone sound energy, the difference between each individual microphone and the golden machine microphone is obtained. By writing software compensation to the chip Flash to make up for the difference in frequency response between the microphone and the golden machine microphone, the frequency response difference between the microphone and the golden machine microphone can be controlled within ±1db.

[0007] The present invention is implemented by the following technical scheme: a software compensation method for recording loudness of a wireless microphone, characterized in that the method comprises the following steps: S1. Measure the frequency response curve of the Golden Machine Microphone through measuring equipment and record it; S2. Measure and record the frequency response curve of the finished wheat; S3. Calculate the energy difference between finished wheat and golden wheat; S4. negating the energy difference; S5. By calling the chip manufacturer's API function interface, the inverted energy difference value is written into the finished wheat chip; S5. Measure and record the frequency response curve of the finished wheat again; S6. Determine whether the frequency response difference between the finished microphone and the golden microphone is within the range of ±1db.

[0008] As a preferred technical solution, the method of calculating the energy difference between the finished wheat and the golden machine wheat further includes converting the measured time domain curves of the golden machine wheat and the finished wheat into frequency domain curves through Fourier transform, and calculating the voltage amplitude of the obtained frequency domain curve.

[0009] As a preferred technical solution, the Fourier transform is based on the formula: f(t)=a0 / 2+Σ(an*cos(nω0*t)+bn*sin(nω0*t)).

[0010] As a preferred technical solution, the energy difference is calculated based on the voltage amplitude multiplied by the time of the voltage amplitude.

[0011] As a preferred technical solution, the energy difference is calculated based on the voltage amplitude multiplied by the time of the voltage amplitude.

[0012] As a preferred technical solution, the method further comprises calibrating the wireless microphone after each compensation to ensure the sound quality of the microphone output.

[0013] A compensation system for a wireless microphone of the present invention is characterized by comprising: A chip for receiving and storing a compensation value of the energy difference; A chip for receiving and storing a compensation value of the energy difference; Measuring equipment, used to measure the frequency response curves of the golden microphone and finished microphone; As a preferred technical solution, the chip further includes a storage area, which is used to store the energy difference compensation value written through the API function interface.

[0014] As a preferred technical solution, the storage area is a Flash storage area.

[0015] As a preferred technical solution, the system further includes a user interface for displaying and adjusting the compensation value, and interacting with the user through the user interface.

[0016] The beneficial effects of the present invention are as follows: The present invention effectively reduces the difference in sound volume of finished microphones by means of software compensation, ensuring that wireless microphones of the same model can achieve auditory consistency when transmitting sound, and listeners can hear sounds of almost the same loudness no matter which microphone is used; Since the stability and consistency of the sound are guaranteed, teachers or anchors no longer need to adjust their speaking volume to adapt to the performance differences of the microphones, thus improving the satisfaction and experience of end users; By adopting the method of the present invention, manufacturers can more easily ensure the sound quality and consistency of microphones during the production process, thereby reducing production costs and improving efficiency; Since the present invention adopts a software compensation method, it has a high degree of adaptability and can easily adapt to various microphones and application scenarios to provide the best audio effect; By using the Fourier transform formula to analyze the frequency response curve of the microphone, the present invention can more accurately calculate the sound energy difference, thereby performing sound compensation more scientifically and accurately; The method of the present invention avoids dependence on specific microphone hardware, making it easier to replace and upgrade different microphone devices without affecting user experience; Since the present invention has a strong ability to adjust the sound loudness differences in various teaching, live broadcast and other scenarios, it can ensure a consistent sound experience in various environments. Since it provides a stable and consistent audio experience, the present invention can enhance the reputation of the manufacturer or brand, thereby attracting more consumers and establishing long-term customer relationships. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a work flow chart of the present invention; Figure 2 The frequency response curve of the artificial mouth with the same sound volume recorded by the original two wireless microphone products without compensation; Figure 3This is a frequency response curve diagram after the present invention calculates the microphone capability and performs software compensation on the microphone. DETAILED DESCRIPTION

[0019] All features disclosed in this specification, or steps in all methods or processes disclosed, except mutually exclusive features and / or steps, can be combined in any manner.

[0020] Any feature disclosed in this specification (including any additional claims, abstract and drawings), unless otherwise stated, may be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

[0021] like Figure 1 As shown, the present invention provides a unique software compensation method to ensure that the loudness of the wireless microphone recording remains stable and consistent. The details are as follows: S1. Determination of the frequency response curve of the Golden Microphone: First, the frequency response curve of the Golden Machine Microphone is measured and recorded using specialized measuring equipment, which provides a benchmark for subsequent comparison and analysis.

[0022] S2. Determination of the frequency response curve of the finished microphone: Next, the frequency response curve of the finished mic is measured and recorded in the same way. This allows us to compare the difference between the Jinji mic and the finished mic.

[0023] S3. Calculation of energy difference: To gain a deeper understanding of the difference, we transform the time domain curves of the Golden Machine Wheat and the Finished Wheat into frequency domain curves through Fourier transformation. Using the Fourier transformation formula f(t)=a0 / 2+Σ(ancos(nω0t)+bnsin(nω0t)), we get the voltage amplitude of the frequency domain curve. Then, we calculate the product of these amplitudes and the corresponding time to get the energy difference.

[0024] S4. Negation of energy difference: To compensate for these differences, we invert the calculated energy differences.

[0025] S5. Write compensation value: Then, we call the API function interface provided by the chip manufacturer to write the inverted energy difference value into the chip of the finished microphone.

[0026] S6. Re-measure and confirm: After the compensation value is written, we measure the frequency response curve of the finished microphone again and confirm whether the difference between it and the golden microphone is effectively reduced to the range of ±1db.

[0027] S7. Calibrate the wireless microphone: To ensure the sound quality of the microphone output, the wireless microphone needs to be accurately calibrated after each compensation.

[0028] In order to more effectively implement the above software compensation method, the present invention also provides a compensation system designed specifically for wireless microphones, which mainly comprises the following components: chip: The chip is specially designed for receiving and storing compensation values ​​of energy differences. It has a built-in Flash storage area, which is specially used to store energy difference compensation values ​​written through an API function interface.

[0029] Measuring equipment: This equipment is used to measure and compare the frequency response curves of the gold machine microphone and the finished microphone. Ensuring accurate measurement is the key to ensuring the compensation effect.

[0030] user interface: In addition, the system is equipped with a user-friendly interface that not only displays compensation values ​​but also allows convenient adjustments, making it easy for operators to interact with and configure the system.

[0031] Here are three common embodiments in this field, which are as follows:

[0032] In a typical educational environment, such as a large lecture hall, teachers using wireless microphones may face inconsistent sound levels. Considering the students' auditory experience, ensuring the consistency of sound is particularly important.

[0033] The teacher first used the Golden Machine Microphone to conduct a sound test and recorded its frequency response curve using measuring equipment.

[0034] The teacher then performs the same test using the finished microphone that will be used in class, again measuring and recording the frequency response curve.

[0035] Use software tools to calculate the energy difference between the frequency response curves of the golden microphone and the finished microphone.

[0036] In order to compensate for this energy difference, it is inverted and written into the chip of the finished microphone through the chip manufacturer's API function interface.

[0037] Finally, measure the frequency response curve of the finished microphone again to ensure that the difference between it and the golden microphone is within ±1db.

[0038] In a broadcast environment, the quality and consistency of the host's voice is critical. Different wireless microphones may result in different sound effects.

[0039] The anchor first used a golden microphone to conduct a sound test and recorded its frequency response curve using special equipment.

[0040] Next, the anchor tested the finished microphone used in the actual broadcast and recorded its frequency response curve.

[0041] Using a broadcast software tool, calculate the energy difference between the two.

[0042] The energy difference is inverted and written into the chip of the finished microphone through the API function interface.

[0043] Test the frequency response curve of the finished microphone again to ensure that the difference with the Golden Machine Microphone is within an acceptable range.

[0044] In business meetings, it is important to ensure that speakers are heard clearly and at a consistent volume.

[0045] Before the meeting, the organizers used the Golden Microphone to conduct sound tests and recorded its frequency response curve; Then, use the finished microphone prepared for the meeting to test and record its frequency response curve; Use the conference room’s audio processing software to calculate the energy difference between the two; This difference is inverted and written into the chip of the finished microphone through the API function interface; Before the meeting begins, measure the frequency response curve of the finished microphone again to ensure that the difference with the Golden Machine Microphone is acceptable.

[0046] like Figure 2 As shown, the frequency response curve of the original two wireless microphones without compensation recording the same artificial mouth with the same sound volume is as follows: Judging from the curves, the frequency response curves of the two wireless microphones differ by about 5db on average. If no compensation is made to align the hardware consistency through software, the same sound recorded by different wireless microphones will be very different. For KTV or outdoor scenes, the audience will not feel a big difference if the sound is 5db different, but for teaching or live broadcast environments, the audience will feel a big difference if the sound is 5db different.

[0047] like Figure 3 As shown, the present invention performs software compensation on the microphone by calculating the microphone capability: From the curve, the frequency response curves of the two wireless microphone products after compensation differ by about 1 db on average; According to experience, the user's perception of a playback in a quiet indoor environment will not differ much if the playback is ±1db.

[0048] By calculating the sound energy difference between each microphone and the gold machine microphone, the present invention can use software to write the compensation value into the Flash of the chip, thereby effectively reducing the frequency response difference between the microphone and the gold machine, ensuring that it is controlled within the range of ±1db.

[0049] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that are not conceived through creative work should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope defined in the claims.

Claims

1. A software compensation method for wireless microphone recording loudness, characterized in that: The method comprises the following steps: S1. Measure the frequency response curve of the Golden Machine Microphone through measuring equipment and record it; S2. Measure and record the frequency response curve of the finished wheat; S3. Calculate the energy difference between finished wheat and golden wheat; S4. negating the energy difference; S5. By calling the chip manufacturer's API function interface, the inverted energy difference value is written into the finished wheat chip; S5. Measure and record the frequency response curve of the finished wheat again; S6. Determine whether the frequency response difference between the finished microphone and the golden microphone is within the range of ±1db.

2. The software compensation method for wireless microphone recording loudness according to claim 1, characterized in that: The step of calculating the energy difference between the finished wheat and the golden machine wheat further includes converting the measured time domain curves of the golden machine wheat and the finished wheat into frequency domain curves through Fourier transform, and calculating the voltage amplitude of the obtained frequency domain curve.

3. The software compensation method for wireless microphone recording loudness according to claim 2, characterized in that: The Fourier transform is based on the formula: f(t)=a0 / 2+Σ(an*cos(nω0*t)+bn*sin(nω0*t)).

4. The software compensation method for wireless microphone recording loudness according to claim 2 or 3, characterized in that: The energy difference is calculated based on the voltage amplitude multiplied by the time of the voltage amplitude.

5. The software compensation method for wireless microphone recording loudness according to claim 1, characterized in that: The energy difference is calculated based on the voltage amplitude multiplied by the time of the voltage amplitude.

6. The software compensation method for wireless microphone recording loudness according to claim 1, characterized in that: The method further comprises calibrating the wireless microphone after each compensation to ensure the sound quality of the microphone output.

7. A compensation system for a wireless microphone, characterized in that: The system uses the software compensation method according to any one of claims 1 to 6, including: A chip for receiving and storing a compensation value of the energy difference; A chip for receiving and storing a compensation value of the energy difference; Measuring equipment, used to measure the frequency response curves of the golden microphone and finished microphone; The compensation system for a wireless microphone according to claim 7 is characterized in that: the chip further includes a storage area, which is used to store the energy difference compensation value written through the API function interface.

8. The compensation system for a wireless microphone according to claim 8, characterized in that: The storage area described is a Flash storage area.

9. The compensation system for a wireless microphone according to claim 7, characterized in that: The system further comprises a user interface for displaying and adjusting the compensation value, and interacting with the user through the user interface.

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