Bass enhancement sound effect processing method for audio processor
By optimizing the low-frequency signal gain and filter response of the audio processor through frequency domain analysis and dynamic gain adjustment, the problem of low-frequency signal instability in existing technologies is solved, and high-quality low-frequency sound output is achieved.
Patent Information
- Application Number
- CN202511205978.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-27
- Publication Date
- 2026-01-06
AI Technical Summary
Existing technologies lack dynamic adaptability to low-frequency signals in audio processors, resulting in sound quality distortion and unstable low-frequency effects. They also fail to accurately balance different frequency bands, affecting the overall audio performance.
The amplitude, frequency distribution, and phase information of the low-frequency signal are extracted by frequency domain analysis. The dynamic gain is calculated and the frequency response of the filter is adjusted to optimize the gain and frequency response of the low-frequency signal. Combined with the comparison of the target audio spectrum, an optimized audio output signal is generated.
It achieves precise gain adjustment and filter optimization for low-frequency signals, reduces sound quality distortion, and ensures that low-frequency signals meet high-standard audio processing requirements.
Smart Images
Figure CN121284450A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of audio signal enhancement technology, and more particularly to a method for bass enhancement sound processing for audio processors. Background Technology
[0002] The field of audio signal enhancement technology encompasses techniques for improving and optimizing audio signal quality through various signal processing methods. The core of this field involves enhancing the performance and listening experience of audio by boosting frequency ranges such as bass, midrange, and treble in audio processing systems. The focus is on utilizing different signal processing methods, such as filtering, gain control, and frequency response optimization, to optimize audio signals and achieve higher-quality sound output, particularly in consumer electronic devices such as headphones, speakers, and audio systems.
[0003] The bass enhancement sound processing method for audio processors refers to an audio signal processing technology specifically designed for enhancing low-frequency sound effects. This patent relates to improving the bass performance of an audio processor through a specific audio processing method. Specifically, it involves selectively processing the input audio signal within a frequency range, utilizing gain control, filtering, or other audio processing techniques to adjust the frequency response of the bass portion, thereby enhancing the bass effect. The focus of this processing method is on optimizing signal output in the low-frequency range to improve the depth and power of the bass sound, without relying on simple volume increase or imprecise processing methods.
[0004] Existing technologies primarily rely on simple gain control or filtering methods to enhance bass effects, but this approach often has limitations when optimizing low-frequency signals. Traditional processing methods over-rely on fixed gain or single frequency response settings, lacking adaptability to dynamic changes in audio signals, easily leading to sound quality distortion or excessively strong and unbalanced bass effects. Furthermore, when optimizing low-frequency signals, existing technologies often fail to accurately balance the various frequency bands of the audio signal, potentially resulting in over- or under-processing of the spectrum, affecting the overall audio performance. Due to the lack of detailed analysis and adaptive adjustment of the audio signal, traditional methods perform worse than expected in consumer electronic devices such as headphones and speakers, and the user experience is easily affected by unstable sound quality and low signal processing accuracy. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the existing technology and propose a bass enhancement sound effect processing method for audio processors.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for bass enhancement sound effect processing in an audio processor, comprising the following steps: S1: Acquire the input audio signal, convert the audio signal from the time domain to the frequency domain, extract the spectral characteristics of the low-frequency signal, analyze the amplitude value, frequency distribution and phase information of the low-frequency band, and obtain the spectral characteristic value of the low-frequency band; S2: Based on the low-frequency band spectral characteristic value, monitor the signal strength and changes, calculate the dynamic gain, set the initial gain value according to the signal strength and spectral characteristics, and apply an adaptive gain adjustment strategy to adjust the gain amount to obtain the low-frequency signal gain adjustment value. S3: Based on the low-frequency signal gain adjustment value, analyze the low-frequency signal spectrum, calculate whether the filter frequency response needs to be adjusted, and update the filter bandwidth and gain settings according to the gain value to obtain the low-frequency frequency response value. S4: Based on the low-frequency response value, evaluate the optimized low-frequency signal, monitor the low-frequency signal characteristics, compare it with the target audio spectrum, calculate the quality deviation value after gain adjustment and filter optimization, and generate the low-frequency signal evaluation result. S5: Based on the low-frequency signal evaluation results, adjust the low-frequency signal gain and frequency response. Based on the optimized low-frequency gain and frequency response data, adjust the low-frequency processing of the audio output device to generate an optimized audio output signal.
[0007] As a further aspect of the present invention, the low-frequency band spectral characteristic values include amplitude value, frequency distribution, and phase information; the low-frequency signal gain adjustment values include dynamic gain, initial gain value, and gain adjustment; the low-frequency frequency response values include filter bandwidth, filter gain, and frequency response; the low-frequency signal evaluation results include quality deviation value and target audio spectrum comparison value; and the optimized audio output signal includes gain adjustment data, frequency response adjustment data, and low-frequency processing adjustment data.
[0008] As a further aspect of the present invention, the specific steps of S1 are as follows: S101: Acquire the input audio signal, convert the input audio signal from the time domain to the frequency domain, obtain the spectrum data of the signal, filter the low-frequency signal, and generate low-frequency spectrum data; S102: Based on the low-frequency spectrum data, analyze the amplitude distribution, calculate the amplitude of the frequency components, compare it with the set amplitude threshold, filter out the amplitude values that meet the requirements, extract the frequency distribution data of the low-frequency band, and calibrate the frequency peak value to obtain the low-frequency amplitude value and frequency distribution data. S103: Based on the low-frequency amplitude value and frequency distribution data, analyze the phase information of the low-frequency signal, calculate the phase spectrum and combine it with the frequency data to obtain the low-frequency spectrum characteristic value.
[0009] As a further aspect of the present invention, the specific steps of S2 are as follows: S201: Obtain the spectral feature value of the low-frequency band, extract the power distribution and amplitude information in the spectrum, calculate the intensity value of the low-frequency signal, determine the fluctuation range, calculate the frequency response characteristics of the low-frequency signal based on the intensity and spectral characteristics of the low-frequency signal, and obtain the current intensity value; S202: Based on the current intensity value, set the initial gain value of the low-frequency signal, calculate the gain reference value in combination with the spectral characteristics of the low-frequency signal, set the gain reference range, and obtain the gain reference value of the low-frequency signal. S203: Based on the initial gain reference value, a self-matching gain adjustment strategy is applied to adjust the gain value in real time based on the intensity fluctuation and spectrum change of the low-frequency signal, thereby generating a low-frequency signal gain adjustment value.
[0010] As a further aspect of the present invention, the specific calculation formula for calculating the gain reference value based on the spectral characteristics of the low-frequency signal is as follows: ; in, The gain reference value representing the low-frequency signal. This represents the number of samples in the spectrum of a low-frequency signal. The first in the spectrum The signal amplitude at each frequency point Representative and the Weighting factors related to each frequency point This represents a weighted summation over all frequencies.
[0011] As a further aspect of the present invention, the specific steps of S3 are as follows: S301: Based on the gain adjustment value of the low-frequency signal, collect signal spectrum data, obtain the power distribution in the frequency domain of the signal, analyze the impact of gain adjustment on signal bandwidth. If the gain value is high, the bandwidth of the low-frequency signal needs to be expanded; otherwise, the bandwidth of the low-frequency signal needs to be contracted. Obtain the data on the impact of gain on the bandwidth of the low-frequency signal. S302: Based on the data on the impact of the gain on the bandwidth of the low-frequency signal, calculate the current filter bandwidth and gain level, determine whether the frequency response of the filter needs to be adjusted, and if so, reset the filter bandwidth and gain based on the gain change to obtain the filter adjustment content. S303: Based on the filter adjustment content, calculate the adjusted frequency response value, combine it with the spectrum data of the low-frequency signal, generate the filter frequency response curve, and obtain the low-frequency frequency response value.
[0012] As a further aspect of the present invention, based on the filter adjustment content, the specific calculation formula for the filter frequency response curve, obtained by calculating the adjusted frequency response value and combining it with the spectrum data of the low-frequency signal, is as follows: ; in, This represents the frequency response value after filter adjustment. Represents the filter gain factor at frequency Gain value at that point, Represents the center frequency of the filter. Represents the bandwidth of the filter. Represents low-frequency signals at frequency Spectral amplitude at that location Representing discrete frequency points, This represents the total number of discrete frequency points.
[0013] As a further aspect of the present invention, the specific steps of S4 are as follows: S401: Based on the low-frequency response value, obtain the target audio spectrum, combine the frequency range of the target spectrum, collect the characteristic data of the low-frequency signal, and extract the gain adjustment amount and the optimization direction of the filter by comparing the low-frequency part of the target audio spectrum, thereby obtaining the gain adjustment value and the filter optimization scheme. S402: Based on the gain adjustment value and filter optimization scheme, adjust the low-frequency signal according to its actual frequency response, apply the filter to optimize the low-frequency signal, monitor the signal performance in the low-frequency band, and obtain the low-frequency signal quality deviation value. S403: Based on the low-frequency signal quality deviation value, perform deviation analysis, compare the adjusted signal with the target audio spectrum, obtain the deviation range value of the signal, and generate a low-frequency signal evaluation result.
[0014] As a further aspect of the present invention, the specific calculation formula for obtaining the low-frequency signal quality deviation value is as follows: ; in, Representing the The actual gain value at each frequency point Representing the The actual frequency response at each frequency point Representing the The target frequency response at each frequency point This represents the number of frequency points measured.
[0015] As a further aspect of the present invention, the specific steps of S5 are as follows: S501: Based on the low-frequency signal evaluation results, obtain the gain and frequency response data of the low-frequency signal, monitor the performance of the low-frequency signal, collect the frequency response curve and gain value, compare the deviation of the data with the optimization standard value, adjust the gain and frequency response according to the deviation, and generate low-frequency gain and frequency response adjustment data. S502: Based on the low-frequency gain and frequency response adjustment data, adjust the gain setting and frequency response of the audio output device, monitor the device response, and generate low-frequency processing adjustment data for the audio output device. S503: Adjust the audio output signal according to the low-frequency processing adjustment data of the audio output device, optimize the low-frequency signal by combining the device feedback data, and generate an optimized audio output signal.
[0016] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, by performing frequency domain analysis on low-frequency signals, the amplitude, frequency distribution, and phase information are accurately extracted. Based on the signal strength and changes, the dynamic gain is calculated, which can effectively adjust the gain of low-frequency signals, update the bandwidth and gain settings of filters, optimize low-frequency response, reduce sound quality distortion, and accurately calculate the quality deviation value by comparing with the target audio spectrum, ensuring that the low-frequency signals meet high-standard audio processing requirements. Attached Figure Description
[0017] Figure 1 This is a schematic diagram of the steps of the present invention. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0019] In the description of this invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicating orientation or positional relationships, are based on the orientation or positional relationships shown in the accompanying drawings and are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, in the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.
[0020] Please see Figure 1 A method for bass enhancement sound processing in an audio processor includes the following steps: S1: Acquire the input audio signal, convert the audio signal from the time domain to the frequency domain, extract the spectral characteristics of the low-frequency signal, analyze the amplitude value, frequency distribution and phase information of the low-frequency band, and obtain the spectral characteristic value of the low-frequency band. S2: Based on the spectral characteristics of the low-frequency band, monitor the intensity and changes of the low-frequency signal, calculate the dynamic gain of the low-frequency signal, set the initial gain value according to the intensity and spectral characteristics of the low-frequency signal, and apply a self-matching gain adjustment strategy to adjust the gain to obtain the low-frequency signal gain adjustment value. S3: Based on the gain adjustment value, analyze the spectrum of the low-frequency signal, calculate whether the frequency response of the filter needs to be adjusted, and update the bandwidth and gain settings of the filter according to the gain value to obtain the low-frequency response value. S4: Based on the low-frequency response value, evaluate the optimized low-frequency signal, monitor the characteristics of the low-frequency signal, calculate the quality deviation value of the signal after gain adjustment and filter optimization by comparing it with the target audio spectrum, and generate the low-frequency signal evaluation result. S5: Based on the low-frequency signal evaluation results, adjust the gain and frequency response of the low-frequency signal. Based on the optimized low-frequency gain and frequency response data, adjust the low-frequency processing of the audio output device to generate an optimized audio output signal.
[0021] Low-frequency spectral characteristics include amplitude, frequency distribution, and phase information; low-frequency signal gain adjustment values include dynamic gain, initial gain, and gain adjustment; low-frequency frequency response values include filter bandwidth, filter gain, and frequency response; low-frequency signal evaluation results include quality deviation and target audio spectrum comparison; and optimized audio output signal includes gain adjustment data, frequency response adjustment data, and low-frequency processing adjustment data.
[0022] The specific steps of S1 are as follows: S101: Acquire the input audio signal, convert the input audio signal from the time domain to the frequency domain, obtain the spectrum data of the signal, filter the low-frequency signal, and generate low-frequency spectrum data; First, the received audio signal needs to be converted into a digital signal, usually through a microphone sampling device. These signals are sampled and converted into time-domain data. Next, the Fourier transform method is used to convert the time-domain signal into a frequency-domain signal, obtaining spectral data of different frequency components. During the conversion process, the frequency-domain data typically consists of real and imaginary parts, corresponding to the amplitude and phase information of different frequencies, respectively. In this process, to extract low-frequency signals, a low-frequency range is first defined, generally a frequency interval selected, such as from 0Hz to 1000Hz. All frequency components within this range are extracted. In practice, the low-frequency portion of the spectrum usually corresponds to the fundamental components of the audio signal, such as human voices or instrument sounds. In many application scenarios, low-frequency components are of great significance for signal analysis. By extracting this low-frequency data, subsequent signal processing and analysis can be effectively performed.
[0023] S102: Based on low-frequency spectrum data, analyze the amplitude distribution, calculate the amplitude of frequency components, compare it with the set amplitude threshold, filter out the amplitude values that meet the requirements, extract the frequency distribution data of the low-frequency band, and calibrate the frequency peak value to obtain the low-frequency amplitude value and frequency distribution data. Based on low-frequency spectrum data, the amplitude distribution is analyzed. First, the amplitude of each frequency component is obtained from the spectrum data. The amplitude value represents the intensity of a frequency component in the signal, usually determined by the modulus of the complex value in the spectrum. Next, these amplitude values need to be analyzed to determine their distribution. In this step, all frequency components with amplitude values greater than a preset amplitude threshold are first screened out. When setting the amplitude threshold, a threshold (e.g., 0.5) can be set according to specific needs. This means that only frequency components with amplitude values greater than 0.5 are considered valid, and the rest are considered noise or unwanted signals. This threshold screening eliminates invalid low-amplitude frequency components. Subsequently, the distribution of these valid frequency components is further analyzed, and their corresponding frequency peaks are calibrated. Frequency peaks usually appear at the position of the largest amplitude value in the spectrum. The calibration process helps to accurately identify the main frequency components in the signal. This step effectively extracts useful frequency information from the signal, which is crucial for subsequent audio analysis and processing.
[0024] S103: Based on the amplitude and frequency distribution data of the low-frequency band, analyze the phase information of the low-frequency signal, calculate the phase spectrum and combine it with the frequency data to obtain the spectral characteristic value of the low-frequency band; Based on the amplitude and frequency distribution data of the low-frequency band, the phase information of the low-frequency signal is analyzed. Phase information refers to the relative position of each frequency component on the time axis, which plays an important role in signal reconstruction and restoration. First, the phase angle of each frequency component is extracted from the spectral data. By calculating the real and imaginary parts of each frequency component, the corresponding phase value can be obtained. Next, the phase information of these frequency components is analyzed based on the frequency data to form a complete phase spectrum. The phase spectrum reflects the phase relationship between different frequency components of the low-frequency signal, and this data helps in further analyzing the signal characteristics. Combined with the frequency data, the spectral characteristic values of the low-frequency band can be obtained. These characteristic values represent the frequency and phase distribution of the low-frequency band signal. In practical applications, accurate phase information is crucial for the accurate reproduction of sound signals, especially in audio processing, sound system optimization, and other fields. By analyzing the frequency and phase of these low-frequency band signals, the accuracy of signal processing can be further improved.
[0025] The specific steps of S2 are as follows: S201: Obtain low-frequency band spectral feature values, extract power distribution and amplitude information in the spectrum, calculate the intensity value of the low-frequency signal, determine the fluctuation range, calculate the frequency response characteristics of the low-frequency signal based on the intensity and spectral characteristics of the low-frequency signal, and obtain the current intensity value; In calculating the intensity of low-frequency signals, the power distribution of the spectrum must first be analyzed to extract the power and amplitude information of the low-frequency band. First, signal data is acquired and converted to the frequency domain using a Fast Fourier Transform (FFT) to obtain the power spectral density at each frequency point. Next, the intensity of the low-frequency signal is determined by calculating its total power. For example, in a signal with a frequency band between 10Hz and 100Hz, calculating and summing the power at all frequency points in that band yields the intensity value of the low-frequency signal. After this process, the intensity level of the low-frequency signal can be determined. Further analysis of the spectral characteristics reveals the frequency response characteristics of the low-frequency signal. For instance, a significant increase in signal intensity at a specific frequency band indicates a greater impact of that band on the system. This process helps determine the performance of low-frequency signals in practical applications and ensures that the system can adapt to different frequency characteristics.
[0026] S202: Based on the current intensity value, set the initial gain value of the low-frequency signal, calculate the gain reference value in combination with the spectral characteristics of the low-frequency signal, set the gain reference range, and obtain the gain reference value of the low-frequency signal. Based on the spectral characteristics of low-frequency signals, the specific formula for calculating the gain reference value is as follows: ; in, The gain reference value representing the low-frequency signal. This represents the number of samples in the spectrum of a low-frequency signal. The first in the spectrum The signal amplitude at each frequency point Representative and the Weighting factors related to each frequency point This represents a weighted summation over all frequencies; Determine the parameter value: Assumption (Number of samples) means that the spectrum has 500 frequency points.
[0027] Assuming the spectrum of the first Signal amplitude at each frequency point The amplitude of the second frequency point Similarly, the signal amplitude at a frequency point is calculated using FFT.
[0028] Assuming weight factors , Similarly, the weighting factors are set based on the signal characteristics.
[0029] Calculation process: Weighted summation of the spectral signal: ; For the first frequency point: ; For the second frequency point: ; For the third frequency point: ; This process continues with weighted summation of frequency points until the 500th frequency point.
[0030] After weighted summation, the total is obtained: ; Finally, divide the sum by To obtain the gain reference value .
[0031] Calculation result: Assuming the weighted summation result is 30000, the gain baseline value is calculated as follows: ; Interpretation of results: The calculated reference gain value is approximately 1342.3, which represents the reference gain value for low-frequency signals under the current spectral conditions. This result is calculated based on the signal's spectral characteristics and the weighted contribution at each frequency point, determining the overall gain adjustment of the signal.
[0032] S203: Based on the initial gain reference value, a self-matching gain adjustment strategy is applied to adjust the gain value in real time based on the intensity fluctuation and spectrum change of the low-frequency signal, thereby generating a low-frequency signal gain adjustment value. When applying a self-matched gain adjustment strategy, the first step is to monitor the intensity fluctuations and spectral changes of the low-frequency signal in real time. This is done by periodically sampling spectral data to obtain the power and amplitude changes of the low-frequency signal at various times. For example, the signal strength can be monitored and its changes recorded every second. If a decrease in signal strength is detected in a certain frequency band, the gain can be adjusted immediately according to a previously set benchmark value. For instance, when the signal strength drops from 30dB to 28dB, the gain can be increased to compensate for the signal attenuation; the adjusted gain value could be set to 33dB. This real-time adjustment mechanism ensures that the low-frequency signal maintains appropriate gain in fluctuating environments, thereby guaranteeing stable signal transmission and optimal system performance.
[0033] The specific steps for S3 are as follows: S301: Based on the gain adjustment value of the low-frequency signal, collect signal spectrum data, obtain the power distribution of the signal frequency domain, analyze the impact of gain adjustment on signal bandwidth. If the gain value is high, the bandwidth of the low-frequency signal needs to be expanded, and vice versa, the bandwidth of the low-frequency signal needs to be contracted, thus obtaining the data on the impact of gain on the bandwidth of the low-frequency signal. Based on the gain adjustment value of low-frequency signals, signal spectrum data is acquired. First, a spectrum analyzer or similar device is used to perform frequency domain analysis on the input low-frequency signal, converting the signal's frequency components into a spectrum diagram. This diagram displays the power distribution of the signal at different frequencies. By observing this diagram, the main frequency components and their power intensities can be identified. Then, the gain value is adjusted. A higher gain value requires a corresponding expansion of the signal bandwidth, and vice versa. This process relies on the signal processor to provide feedback on the changes in signal bandwidth after gain adjustment through changes in the spectrum diagram. For example, if the initial signal bandwidth is 10Hz, a higher gain adjustment might expand the bandwidth to 15Hz, while a lower gain might shrink the bandwidth to 8Hz. Through this process, precise control of the low-frequency signal bandwidth is achieved, and corresponding bandwidth adjustment data is generated based on the gain value.
[0034] S302: Based on the data on the impact of gain on the bandwidth of low-frequency signals, calculate the current filter bandwidth and gain level, determine whether the frequency response of the filter needs to be adjusted, and if so, reset the filter bandwidth and gain based on the gain change to obtain the filter adjustment content. After calculating the impact of gain on the bandwidth of low-frequency signals, the bandwidth data in the current signal spectrum is first obtained. Then, the filter's bandwidth characteristics are matched with the gain level. If the current filter bandwidth cannot meet the signal processing requirements, the filter's frequency response needs to be adjusted. This adjustment process can be implemented through the signal processing system's control interface. First, based on the current spectrum and gain settings, the required filter bandwidth is recalculated. For example, if the current filter bandwidth is set to 10Hz, and the bandwidth expands to 15Hz after the gain is increased in the signal spectrum, then the filter bandwidth setting should also be adjusted appropriately to 15Hz to ensure complete signal transmission. If a decrease in gain causes the bandwidth to shrink to 8Hz, the filter bandwidth should be reduced accordingly to 8Hz to ensure precise frequency response matching. This adjustment process ensures that the filter always meets the frequency requirements of the current signal and that signal transmission is not distorted.
[0035] S303: Based on the filter adjustment content, calculate the adjusted frequency response value, combine it with the spectrum data of the low-frequency signal, generate the filter frequency response curve, and obtain the low-frequency frequency response value; The adjusted frequency response value is calculated, and combined with the spectrum data of the low-frequency signal, the specific calculation formula for the filter frequency response curve is as follows: ; in, This represents the frequency response value after filter adjustment. Represents the filter gain factor at frequency Gain value at that point, Represents the center frequency of the filter. Represents the bandwidth of the filter. Represents low-frequency signals at frequency Spectral amplitude at that location Representing discrete frequency points, Represents the total number of discrete frequency points; In actual calculations, each frequency point Corresponding gain factor It will be different, assuming At 20Hz, At 50Hz, At 100Hz, At 150Hz. Meanwhile, the signal amplitude... It will also vary depending on the frequency, assuming , , , .
[0036] The following are the specific calculation steps for the formula: 1. For the first frequency point : ; ; For the second frequency point : ; ; For the third frequency point : ; ; For the fourth frequency point : ; ; Next, the results at the four frequency points are summed:
[0037] The result indicates that the low-frequency response value after filter adjustment... The value is 15.97 within the selected frequency range. This value indicates the filter's response strength to low-frequency signals in this frequency range, and the effectiveness of the filter can be evaluated based on this result.
[0038] The specific steps of S4 are as follows: S401: Based on the low-frequency response value, obtain the target audio spectrum, combine the frequency range of the target spectrum, collect the characteristic data of the low-frequency signal, and extract the gain adjustment amount and filter optimization direction of the low-frequency signal by comparing the low-frequency part of the target audio spectrum, and obtain the gain adjustment value and filter optimization scheme. Based on the low-frequency portion of the target audio spectrum, its frequency response value is first extracted to determine the frequency range of the target spectrum. Next, characteristic data of the low-frequency signal is acquired, and by comparing it with the low-frequency portion of the target audio spectrum, the gain adjustment amount of the low-frequency signal and the optimization direction of the filter are obtained, ultimately determining the gain adjustment value and filter optimization scheme. In practical applications, a spectrum analysis tool is used to perform a Fast Fourier Transform (FFT) on the target audio signal to calculate its frequency response. If the low-frequency portion of the target audio is mainly concentrated between 20Hz and 200Hz, then within this frequency range, the actual acquired low-frequency signal is compared, and FFT is performed to decompose it into different frequency components. If the signal gain in a certain frequency band (e.g., 50Hz to 100Hz) is low, it needs to be optimized through a filter. Specifically, a low-pass filter can be designed to filter out frequencies above 200Hz while enhancing the gain in the low-frequency band. For example, the gain value in the 50Hz to 100Hz band can be adjusted through a gain control module to match the target audio spectrum. Thus, by comparing the low-frequency portion of the target spectrum, a gain adjustment value is generated, and a corresponding filter optimization scheme is formulated.
[0039] S402: Based on the gain adjustment value and filter optimization scheme, adjust the low-frequency signal according to its actual frequency response, apply the filter to optimize the low-frequency signal, monitor the signal performance in the low-frequency band, and obtain the low-frequency signal quality deviation value. The specific formula for calculating the low-frequency signal quality deviation value is as follows: ; in, Representing the The actual gain value at each frequency point Representing the The actual frequency response at each frequency point Representing the The target frequency response at each frequency point This represents the number of frequency points measured. Calculate the gain difference at each frequency point: For each frequency point Calculate the difference between the actual gain value and the target frequency response value. For example, at the first frequency point ( At point ), actual gain The target response is 10dB. -1dB, the difference is dB.
[0040] Square the differences and sum them: Squaring the differences at each frequency point and summing them together. For example, assuming the differences measured at 5 frequency points are 11dB, 9dB, 7dB, etc., the sum of the squares yields Σ. , , ... Continue this operation for each frequency point to obtain the respective squared difference.
[0041] Calculate the average difference: Sum the squared differences of all frequency points and divide by the total number of frequency points. The average difference is obtained. For example, suppose the squared differences at 5 frequency points are 121, 81, 49, 64, 100, and the sum is 415. Then the average squared difference is: ; Take the square root: Taking the square root of the average difference value yields the quality deviation value of the low-frequency signal. .
[0042] ; Example explanation: Assuming measurements are taken at 5 frequency points, the actual gain value and the target frequency response value are as follows: At the first frequency point, the actual gain is 10dB, the target response is -1dB, and the difference is 11dB.
[0043] At the second frequency point, the actual gain is 8dB, the target response is -2dB, and the difference is 10dB.
[0044] At the third frequency point, the actual gain is 6dB, the target response is -3dB, and the difference is 9dB.
[0045] At the fourth frequency point, the actual gain is 7dB, the target response is -4dB, and the difference is 11dB.
[0046] At the 5th frequency point, the actual gain is 9dB, the target response is -5dB, and the difference is 14dB.
[0047] By calculating the squares of these differences, we obtain: ; Then sum these squared differences: ; Next, divide the sum by the total number of frequency points. : ; Finally, taking the square root yields the low-frequency signal quality deviation value: ; Interpretation of results: Calculated low-frequency signal quality deviation value This indicates the average difference between the actual gain value and the target frequency response value at five frequency points. The result shows that the performance of the low-frequency signal at these frequency points deviates somewhat from the expected target, requiring further system optimization or filter settings adjustment.
[0048] S403: Based on the low-frequency signal quality deviation value, perform deviation analysis, compare the adjusted signal with the target audio spectrum, obtain the deviation range value of the signal, and generate low-frequency signal evaluation results; Assuming the comparison between the adjusted low-frequency signal and the target spectrum shows a deviation of 2dB in the 50Hz to 100Hz frequency band, a target spectrum gain of +6dB, and an actual gain of +4dB, then the deviation range is [-2dB, +2dB]. During deviation analysis, the difference between the actual signal and the target audio spectrum is compared to determine if preset standards are met, such as whether the deviation value is within a preset range. If the deviation value is less than a set threshold (e.g., ±3dB), it indicates that the signal has essentially met the target audio spectrum after optimization. At this point, an evaluation result can be generated. If the deviation exceeds the set range, the system will propose further adjustment schemes based on the deviation range value to improve the low-frequency signal quality.
[0049] The specific steps of S5 are as follows: S501: Based on the low-frequency signal evaluation results, acquire the gain and frequency response data of the low-frequency signal, monitor the performance of the low-frequency signal, collect the frequency response curve and gain value, compare the deviation of the data with the optimization standard value, adjust the gain and frequency response according to the deviation, and generate low-frequency gain and frequency response adjustment data. In practical implementation, the first step is to evaluate the gain and frequency response data of the low-frequency signal, acquire this data, and monitor it. Using measuring equipment or audio analysis instruments, collect the frequency response curve and gain value of the low-frequency signal. First, determine its gain and phase response at different frequencies, and use a spectrum analyzer to acquire frequency response data. Assuming the target frequency range is 20Hz to 200Hz, acquire the signal gain values within this frequency range. For example, assume a gain of 10dB at 20Hz, 8dB at 100Hz, and 5dB at 200Hz. Then compare these gains with standard values. If the standard values are set to 12dB at 20Hz, 9dB at 100Hz, and 6dB at 200Hz, then evaluate the deviations between these data and the standard values. For example, the gain deviation might be 2dB at 20Hz, 1dB at 100Hz, and 1dB at 200Hz. Based on these deviations, adjust the gain and frequency response to reduce the deviations and perform necessary optimizations. The goal of this process is to adjust the gain so that the performance of the low-frequency signal at different frequencies is closer to the standard value, thereby ensuring that the output quality of the low-frequency signal meets the set standard and generating low-frequency gain and frequency response adjustment data.
[0050] S502: Based on low-frequency gain and frequency response adjustment data, adjust the gain setting and frequency response of the audio output device, monitor the device response, and generate low-frequency processing adjustment data for the audio output device; After generating low-frequency gain and frequency response adjustment data for the audio output device, the gain settings and frequency response of the audio output device are actually adjusted based on this data. The device's audio processor modifies the gain and frequency response of the audio output device according to the adjustment data. At this point, the device responds to and adjusts the output audio signal. Assuming the device's default gain is 8dB and the frequency response is 20Hz to 20kHz, the adjusted gain might be adjusted to 9dB, and the frequency response range might change to 40Hz to 18kHz to accommodate low-frequency signals. The user then evaluates the adjustment effect by monitoring the device response in real time. By actually measuring and analyzing the device response, such as using audio analysis instruments to monitor the audio signal, it is ensured that the output signal is consistent with the adjusted gain and frequency response data. For example, at 20Hz, the gain should reach the target of 12dB. If the device response deviates from the target gain, the device settings are further fine-tuned, generating low-frequency processing adjustment data for the audio output device to ensure that the device output meets the optimization standards.
[0051] S503: Adjusts the audio output signal based on the low-frequency processing adjustment data of the audio output device, optimizes the low-frequency signal by combining the device feedback data, and generates an optimized audio output signal; This step involves adjusting the audio output signal's gain and frequency response to suit different output devices and environmental requirements. Assuming that the low-frequency portion of the audio output signal may need further enhancement after device adjustment to compensate for insufficient output, and assuming the device's output signal frequency response range is 40Hz to 18kHz, the optimized target frequency response should be 30Hz to 18kHz, with the gain increased from 8dB to 10dB. To verify the device feedback data, the output signal of the audio output device can be monitored and compared with the feedback data to analyze the differences between the output signal and the optimized data. By adjusting the gain and frequency response, the final optimized audio output signal is obtained. At this point, the optimized signal should have a more balanced low-frequency performance, ensuring clearer and more accurate low-frequency reproduction during actual playback, thus meeting user needs.
[0052] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.
Claims
1. A bass enhancement sound effect processing method for an audio processor, characterized in that, The method comprises the following steps: S1: obtaining an input audio signal, converting the audio signal from time domain to frequency domain, extracting the spectral characteristics of the low-frequency signal, analyzing the amplitude value, frequency distribution and phase information of the low-frequency band to obtain the low-frequency band spectral characteristic value; S2: monitoring the signal strength and changes according to the low-frequency band spectral characteristic value, calculating the dynamic gain, setting the initial gain value according to the signal strength and spectral characteristics, and applying the adaptive gain adjustment strategy to adjust the gain amount to obtain the low-frequency signal gain adjustment value; S3: analyzing the low-frequency signal spectrum according to the low-frequency signal gain adjustment value, calculating whether the filter frequency response needs to be adjusted, and updating the filter bandwidth and gain setting according to the gain value to obtain the low-frequency frequency response value; S4: evaluating the optimized low-frequency signal according to the low-frequency frequency response value, monitoring the low-frequency signal characteristics, and comparing with the target audio spectrum to calculate the quality deviation value after gain adjustment and filter optimization, and generating the low-frequency signal evaluation result; S5: adjusting the low-frequency signal gain and frequency response according to the low-frequency signal evaluation result, adjusting the low-frequency processing of the audio output device according to the optimized low-frequency gain and frequency response data, and generating the optimized audio output signal.
2. The bass enhancement sound effect processing method for an audio processor according to claim 1, wherein, The low-frequency band spectral characteristic value includes amplitude value, frequency distribution, phase information, the low-frequency signal gain adjustment value includes dynamic gain, initial gain value, gain amount adjustment, the low-frequency frequency response value includes filter bandwidth, filter gain, frequency response, the low-frequency signal evaluation result includes quality deviation value, target audio spectrum comparison value, and the optimized audio output signal includes gain adjustment data, frequency response adjustment data and low-frequency processing adjustment data.
3. The bass enhancement sound effect processing method for an audio processor according to claim 1, wherein, The specific steps of S1 are as follows: S101: obtaining an input audio signal, converting the input audio signal from time domain to frequency domain to obtain the spectral data of the signal, screening the low-frequency band signal, and generating the low-frequency band spectral data; S102: based on the low-frequency band spectral data, analyzing the amplitude value distribution, calculating the amplitude of the frequency component, and comparing with the set amplitude threshold to screen the amplitude value meeting the requirements, extracting the frequency distribution data of the low-frequency band, and marking the frequency peak to obtain the low-frequency band amplitude value and frequency distribution data; S103: according to the low-frequency band amplitude value and frequency distribution data, analyzing the phase information of the low-frequency signal, calculating the phase spectrum and combining the frequency data to obtain the low-frequency band spectral characteristic value.
4. The bass enhancement sound effect processing method for an audio processor according to claim 3, wherein, The specific steps of S2 are as follows: S201: obtaining the low-frequency band spectral characteristic value, extracting the power distribution and amplitude information in the spectrum, calculating the intensity value of the low-frequency signal, determining the fluctuation range, calculating the frequency response characteristics of the low-frequency signal according to the intensity and spectral characteristics of the low-frequency signal to obtain the current intensity value; S202: setting the initial gain value of the low-frequency signal according to the current intensity value, calculating the gain reference value in combination with the spectral characteristics of the low-frequency signal, setting the gain amount reference range to obtain the gain reference value of the low-frequency signal; S203: applying the self-matching gain adjustment strategy according to the initial gain reference value, adjusting the gain value in real time based on the intensity fluctuation and spectral change of the low-frequency signal to generate the low-frequency signal gain adjustment value.
5. The bass enhancement sound effect processing method for an audio processor according to claim 4, wherein, The specific calculation formula of the gain reference value according to the spectral characteristics of the low-frequency signal is: ； in, The gain reference value representing the low-frequency signal. This represents the number of samples in the spectrum of a low-frequency signal. The first in the representative spectrum The signal amplitude at each frequency point Representative and the Weighting factors related to each frequency point This represents a weighted summation over all frequencies.
6. The bass enhancement sound effect processing method for an audio processor according to claim 4, wherein, The specific steps of S3 are: S301: Based on the gain adjustment value of the low-frequency signal, the signal spectrum data is collected, the power distribution of the signal frequency domain is obtained, the influence of gain adjustment on the signal bandwidth is analyzed, if the gain value is high, the bandwidth of the low-frequency signal needs to be expanded, otherwise the bandwidth of the low-frequency signal needs to be contracted, and the influence data of gain on the low-frequency signal bandwidth is obtained; S302: According to the influence data of gain on the low-frequency signal bandwidth, the current filter bandwidth and gain level are calculated, and it is judged whether the frequency response of the filter needs to be adjusted, if so, the bandwidth and gain of the filter are reset based on the gain change, and the filter adjustment content is obtained; S303: According to the filter adjustment content, the adjusted frequency response value is calculated, the filter frequency response curve is generated by combining the spectral data of the low-frequency signal, and the low-frequency frequency response value is obtained.
7. The bass enhancement sound effect processing method for an audio processor according to claim 6, wherein, The specific calculation formula of the filter frequency response curve obtained by calculating the adjusted frequency response value and combining the spectral data of the low-frequency signal is: ； in, This represents the frequency response value after filter adjustment. Represents the filter gain factor at frequency Gain value at that point, Represents the center frequency of the filter. Represents the bandwidth of the filter. Represents low-frequency signals at frequency Spectral amplitude at that location Representing discrete frequency points, This represents the total number of discrete frequency points.
8. The bass enhancement sound effect processing method for an audio processor according to claim 6, wherein, The specific steps of S4 are: S401: According to the low-frequency frequency response value, the target audio spectrum is obtained, the characteristic data of the low-frequency signal is collected by combining the frequency range of the target spectrum, the gain adjustment amount of the low-frequency signal and the optimization direction of the filter are extracted by comparing the low-frequency part of the target audio spectrum, and the gain adjustment value and the filter optimization scheme are obtained; S402: According to the gain adjustment value and the filter optimization scheme, the actual frequency response of the low-frequency signal is adjusted, the low-frequency signal is optimized by applying the filter, the performance of the signal in the low-frequency band is monitored, and the low-frequency signal quality deviation value is obtained; S403: Based on the low-frequency signal quality deviation value, deviation analysis is performed, the adjusted signal is compared with the target audio spectrum, the deviation interval value of the signal is obtained, and the low-frequency signal evaluation result is generated.
9. The bass enhancement sound effect processing method for an audio processor according to claim 8, wherein, The specific calculation formula of the low-frequency signal quality deviation value is: ； wherein, the actual gain value of the first frequency point, the actual gain value of the second frequency point, the target gain value of the second frequency point, the number of measured frequency points.
10. The bass enhancement sound effect processing method for an audio processor according to claim 8, wherein, The specific steps of S5 are: S501: According to the low-frequency signal evaluation result, the gain and frequency response data of the low-frequency signal are obtained, the performance of the low-frequency signal is monitored, the frequency response curve and the gain value are collected, the deviation of the data and the optimization standard value is compared, the gain and frequency response are adjusted according to the deviation, and the low-frequency gain and frequency response adjustment data are generated; S502: Based on the low-frequency gain and frequency response adjustment data, the gain setting and frequency response of the audio output device are adjusted, the device response is monitored, and the low-frequency processing adjustment data of the audio output device is generated; S503: According to the low-frequency processing adjustment data of the audio output device, the audio output signal is adjusted, the low-frequency signal is optimized by combining the device feedback data, and the optimized audio output signal is generated.