Open type earphone bass enhancement implementation and optimization system

Abstract

The invention relates to the technical field of open-type earphone bass processing, and discloses an open-type earphone bass enhancement implementation and optimization system, which comprises an earphone bass enhancement processing system and an enhanced bass circuit, and is characterized in that the earphone bass enhancement processing system comprises a front-end module and a middle-end module, the front-end module comprises a signal receiving module, a processing module and an output module, the signal receiving module is electrically connected with the processing module, the processing module is electrically connected with the output module and the enhanced bass circuit, and the middle-end module comprises an audio parameter data acquisition module, an optimization module, a self-adaptive adjustment module and an intelligent learning module. The audio parameter data acquisition module is electrically connected with the optimization module, the mode that hardware is used for enhancing the bass of the earphone is matched with modularized bass enhancement processing of the earphone, and compared with a traditional bass enhancement mode, through the two bass enhancement modes, the audio effect of the bass can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of open-type headphone bass processing, and in particular to an open-type headphone bass enhancement implementation and optimization system. Background Art

[0002] Compared with closed-type headphones, open-type headphones no longer use heavy sound-dyeing pads, so there is no sense of isolation from the outside world, so that you can hear the sounds of the outside world and the listening experience is natural. However, due to the wide sound field and loose sound, the sound density of open-type headphones is generally relatively low, which makes the low-frequency elasticity poor.

[0003] In the prior art, the method of achieving bass enhancement for open-back headphones is often to perform corresponding bass processing only after the audio has been played for a period of time, thereby achieving bass enhancement and optimization of the audio. However, this will result in the front end of the audio, and the unprocessed audio will cause the user to feel that the use effect is poor.

[0004] After searching, it is found that a Chinese patent document discloses a bass enhancement system and method for open Bluetooth headsets (publication number: CN116405822A). This application relates to the technical field of Bluetooth headsets, and specifically discloses a bass enhancement system and method for open Bluetooth headsets. The system includes: a signal receiving module for receiving digital audio signals transmitted by Bluetooth, and confirming the audio type according to the current transmission protocol; a bass enhancement module for performing corresponding parameter configuration according to the audio type, and performing bass enhancement on the digital audio signal according to the configuration parameters; a signal conversion module for converting the digital audio signal after bass enhancement into an analog audio signal; and a sound receiving module for amplifying the analog audio signal to form a sound audible to the human ear. This application improves the gain effect brought by bass enhancement to a certain extent by combining different audio types with different audio characteristics to make targeted adjustments when performing bass enhancement on the audio signal, but there are still the following defects:

[0005] Although the above-mentioned bass enhancement system and method applied to open Bluetooth headsets achieves the difference in audio characteristics according to different audio types, and makes targeted adjustments in combination with different audio types when performing bass enhancement on audio signals, thereby improving the gain effect brought by bass enhancement to a certain extent, there is still a way to achieve bass enhancement for open headphones. Often, the corresponding bass processing can only be performed after the audio has been played for a period of time, thereby achieving bass enhancement and optimization of the audio. However, this will cause the front end of the audio, and the unprocessed audio will cause the user to feel that the use effect is not good. Summary of the invention

[0006] The purpose of the present invention is to provide an open-type headphone bass enhancement implementation and optimization system, which solves the problem that in the prior art of the background technology, the open-type headphone bass enhancement implementation method is often to perform corresponding bass processing after the audio is played for a period of time, thereby achieving the bass enhancement and optimization of the audio, but this will cause the front end of the audio, and the unprocessed audio will cause the user to feel that the use effect is not good.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] An open-type headphone bass enhancement implementation and optimization system includes a headphone bass enhancement processing system and an enhanced bass circuit, characterized in that: the headphone bass enhancement processing system includes a front-end module and a mid-end module;

[0009] The front-end module includes a signal receiving module, a processing module and an output module, wherein the signal receiving module is electrically connected to the processing module, and the processing module is electrically connected to the output module and the enhanced bass circuit;

[0010] The mid-end module includes an audio parameter data acquisition module, an optimization module, an adaptive adjustment module and an intelligent learning module;

[0011] The audio parameter data acquisition module is electrically connected to the optimization module, and the optimization module is electrically connected to the intelligent learning module;

[0012] The function of the bass enhancement circuit is to suppress the negative feedback generated by the high frequency part through the characteristics of the second-order filter circuit, and to achieve a low-pass filter effect through suppression, thereby enhancing the bass effect.

[0013] Preferably, the signal receiving module is used to receive the digital audio signal transmitted by the operating end through the Bluetooth function module, and confirm the audio type to be played according to the current transmission protocol, and the transmission protocol is the Bluetooth 5.4 data transmission protocol.

[0014] Preferably, the output module plays the audio parameter data received by the signal receiving module through the output module, and the output of the output module is a dynamic hyperbolic ultra-low frequency sound effect;

[0015] The effect of the dynamic hyperbolic ultra-low frequency sound effect is achieved through a hyperbolic filter, and the hyperbolic function and Fourier series accurately control the harmonics generated according to the different signal sizes and frequencies.

[0016] Preferably, the processing module includes a planning module, a noise processing module and an adaptive compensation module, and the planning module receives the optimization method of the audio parameter data currently required to be played transmitted by the intelligent learning module, and optimizes the audio parameter data in this way;

[0017] The function of the noise processing module is to separate the noise information from the audio parameter data by using a denoising algorithm on the current audio parameter data.

[0018] Preferably, the function of the adaptive compensation module is to analyze the user's sensitivity at different frequencies by adopting ALEC adaptive compensation technology, and accurately compensate for the high-frequency and low-frequency audio according to the user's actual auditory perception.

[0019] Preferably, the audio parameter data acquisition module is used to collect current audio parameter data and obtain a frequency response curve based on the current audio parameter data. The audio parameter data acquisition module includes a transmission module, an analysis module and a sound acquisition module. The audio parameter data acquisition module can also be electrically connected to the intelligent software.

[0020] Preferably, the specific steps of the audio parameter data acquisition module to obtain the frequency response curve are:

[0021] S1: When the output module performs audio output, it responds to the sound collection module;

[0022] S2: Collect the currently playing output audio through the sound collection module;

[0023] S3: Acquire actual audio parameter data of the audio parameter data by acquisition;

[0024] S4: Analyze the acquired actual audio parameter data through an analysis module.

[0025] S5: Obtain the frequency response curve of the current audio parameter data and transmit it to the optimization module;

[0026] Preferably, the function of the optimization module is to receive the frequency response curve of the audio parameter data generated by the audio parameter data acquisition module, perform fitting processing according to the set optimal optimization curve based on the current frequency response curve, and set the low-frequency gain value through the optimization module, the low-frequency gain value is 9db to 10db, and perform bass optimization processing on the audio parameter data output by the output module in real time through the optimization module.

[0027] Preferably, the function of the adaptive adjustment module is to fine-tune the volume of the audio parameter data according to the set volume floating threshold value through the adaptive adjustment module when the audio parameter data is played to the set frequency response curve threshold value.

[0028] Preferably, the intelligent learning module includes a cloud database. The function of the intelligent learning module is to transmit optimization instructions for the subsequently generated audio parameter data to the processing module according to the optimization method obtained by the optimization module and stored in the cloud database, so that the audio parameter data can be processed faster by the processing module. The standards stored in the cloud database are the unique authentication indicators and frequency response curves of the audio parameter data.

[0029] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0030] 1. During use, the present invention adopts a hardware method of enhancing the headphone bass in combination with a modular headphone bass enhancement process. Through the above two bass enhancement methods, the audio effect of the bass can be effectively improved compared with the traditional bass enhancement method.

[0031] 2. During use of the present invention, the front-end module is set up, so that the output audio parameter data can be processed by the processing module contained in the front-end module, and the noise reduction can be effectively performed, and the user's sensitivity at different frequencies can be analyzed. According to the user's actual auditory perception, the high-frequency and low-frequency audio can be accurately compensated, and at the same time, the optimization method of the audio parameter data currently required to be played transmitted by the intelligent learning module is received. In this way, the optimization of the audio parameter data is completed, and the efficiency of bass enhancement can be improved for the optimized audio parameter data.

[0032] 3. During use of the present invention, through the mid-end module set, the audio parameter data acquisition module can automatically acquire the frequency response curve according to the open-type headphones, and the acquired frequency response curve is fitted according to the set best optimization curve by the optimization module according to the current frequency response curve, and the low-frequency gain value is set by the optimization module to complete the actual frequency response curve to complete the bass enhancement operation. At the same time, during the audio playback process, the adaptive adjustment module can fine-tune the volume of the audio parameter data according to the volume floating threshold through the adaptive adjustment module after the audio parameter data is played to the set frequency response curve threshold.

[0033] 4. During use, the intelligent learning module of the present invention can transmit optimization instructions to the processing module for the subsequently generated audio parameter data according to the optimization method obtained by the optimization module and stored in the cloud database. This can more quickly perform bass enhancement processing on the audio parameter data, thereby reducing the processing time of the audio parameter data. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1A schematic diagram of the structure of an open-type headphone bass enhancement implementation and optimization system in the present invention;

[0035] Figure 2 A schematic diagram of specific steps for the audio parameter data acquisition module of the present invention to obtain a frequency response curve; Figure 3 It is a schematic diagram of the specific steps of the open-earphone bass enhancement implementation and optimization system in the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] Example 1

[0038] See also Figure 1 - Figure 3 , an open-type headphone bass enhancement implementation and optimization system, including a headphone bass enhancement processing system and an enhanced bass circuit, characterized in that: the headphone bass enhancement processing system includes a front-end module and a mid-end module.

[0039] The front-end module includes a signal receiving module, a processing module and an output module, the signal receiving module is electrically connected to the processing module, and the processing module is electrically connected to the output module and the enhanced bass circuit;

[0040] The mid-range module includes an audio parameter data acquisition module, an optimization module, an adaptive adjustment module and an intelligent learning module.

[0041] The audio parameter data acquisition module is electrically connected to the optimization module, and the optimization module is electrically connected to the intelligent learning module.

[0042] The function of the bass enhancement circuit is to suppress the negative feedback generated by the high-frequency part through the characteristics of the second-order filter circuit, and to achieve a low-pass filter effect through suppression, thereby enhancing the bass effect.

[0043] The enhanced bass circuit is achieved by modifying the power amplifier pre-circuit, specifically by using a second-order RC low-pass filter at the input end and a second-order high-pass filter circuit in the negative feedback circuit. The high-frequency part will be suppressed by the negative feedback to achieve a low-pass filtering effect, thereby enhancing the super bass effect.

[0044] The function of the signal receiving module is to receive the digital audio signal transmitted by the operating end through the Bluetooth function module, and confirm the audio type to be played according to the current transmission protocol. The transmission protocol is the Bluetooth 5.4 data transmission protocol. Through the set signal receiving module, due to the use of the Bluetooth 5.4 data transmission protocol, it has a higher transmission rate during the audio transmission process, while reducing signal interference and attenuation.

[0045] The function of the output module is to play the audio parameter data received by the signal receiving module through the output module. The output of the output module is a dynamic two-line ultra-low frequency sound effect.

[0046] The dynamic bi-line sub-bass sound effect is achieved through a hyperbolic filter. The hyperbolic function and Fourier series accurately control the harmonics generated according to the different signal sizes and frequencies. By adopting the dynamic bi-line sub-bass sound effect, it can compensate for the lack of low-frequency dive and provide a deep and powerful bass effect.

[0047] The processing module includes a planning module, a noise processing module and an adaptive compensation module. The function of the planning module is to receive the optimization method of the audio parameter data currently required to be played transmitted by the intelligent learning module, and to optimize the audio parameter data in this way.

[0048] The function of the noise processing module is to separate the noise information from the audio parameter data through a denoising algorithm for the current audio parameter data. The denoising algorithm includes at least spectral subtraction, a statistical model algorithm and a subspace algorithm. The spectral subtraction is specifically based on the difference between noise and signal in the frequency domain, and performs spectral analysis on the input audio parameter data and subtracts the estimated noise spectrum to suppress the noise component, thereby achieving the denoising effect.

[0049] The specific method of the statistical model algorithm is to map the noisy speech into the signal subspace and the noise subspace, and estimate the real speech signal by eliminating the noise subspace components and retaining the useful signal subspace components.

[0050] The subspace algorithm performs noise reduction by training an artificial neural network, which is suitable for steady-state, non-steady-state and even transient noise.

[0051] The function of the adaptive compensation module is to analyze the user's sensitivity at different frequencies by using ALEC adaptive compensation technology, and to accurately compensate for the high-frequency and low-frequency audio according to the user's actual auditory perception.

[0052] The function of the audio parameter data acquisition module is to collect the current audio parameter data and obtain the frequency response curve based on the current audio parameter data. The audio parameter data acquisition module includes a transmission module, an analysis module and a sound acquisition module. The audio parameter data acquisition module can also be electrically connected to the intelligent software.

[0053] The function of the optimization module is to receive the frequency response curve of the audio parameter data generated by the audio parameter data acquisition module, perform fitting processing according to the set optimal optimization curve based on the current frequency response curve, and set the low-frequency gain value through the optimization module, the low-frequency gain value is 9db to 10db, and perform bass optimization processing on the audio parameter data output by the output module in real time through the optimization module.

[0054] The function of the adaptive adjustment module is to fine-tune the volume of the audio parameter data according to the set volume floating threshold. When the audio parameter data is played to the set frequency response curve threshold, the adaptive adjustment module is used to adjust the volume. By setting the adaptive adjustment module, when the audio parameter data is played to the bass segment during use, the adaptive adjustment module automatically captures it and automatically fine-tunes the current volume sound effect according to the set volume floating threshold to achieve the effect of bass enhancement.

[0055] The intelligent learning module includes a cloud database. The function of the intelligent learning module is to transmit optimization instructions to the processing module for the subsequently generated audio parameter data according to the optimization method obtained by the optimization module stored in the cloud database, so that the audio parameter data can be processed faster by the processing module. The cloud database stores the unique authentication index and frequency response curve of the audio parameter data.

[0056] The audio parameter data currently being played will obtain the frequency response curve of the current audio parameter data through the audio parameter data acquisition module, and the set frequency response curve floating threshold will diffuse the frequency response curve of the current audio parameter data, obtain several feature points through the diffused frequency response curve, and match the frequency response curve stored in the cloud database with several feature point indicators to obtain the optimized curve optimization method and transmit it to the processing module;

[0057] When the penetrated audio parameter data meets the unique authentication index stored in the cloud database, the optimization method is directly obtained through the unique authentication index and transmitted to the processing module for optimization processing.

[0058] Example 2

[0059] See also Figure 2 The open-type headphone bass enhancement implementation and optimization system includes an audio parameter data acquisition module. The specific steps of the audio parameter data acquisition module to obtain the frequency response curve are as follows:

[0060] S1: When the output module performs audio output, it responds to the sound collection module;

[0061] S2: Collect the currently playing output audio through the sound collection module;

[0062] S3: Acquire actual audio parameter data of the audio parameter data by acquisition;

[0063] S4: Analyzing the acquired actual audio parameter data through an analysis module;

[0064] S5: Obtain the frequency response curve of the current audio parameter data and transmit it to the optimization module.

[0065] Example 3

[0066] See also Figure 3 , an open-type headphone bass enhancement implementation and optimization system, the open-type headphone bass enhancement implementation and optimization system specifically comprises the following steps:

[0067] Step 1: First, the signal receiving module included in the front-end module receives the transmitted digital audio signal;

[0068] Step 2: performing noise reduction processing on the digital audio parameter data through a processing module;

[0069] Step 3: At the same time, according to the optimization method of the audio parameter data currently required to be played transmitted by the intelligent learning module, the optimization of the audio parameter data is completed in this way;

[0070] Step 4: The output module cooperates with the bass enhancement circuit to complete the playback of audio parameter data;

[0071] Step 5: When the audio parameter data is being played, the frequency response curve is obtained through the audio parameter data acquisition module, and the volume is fine-tuned through the adaptive adjustment module according to the volume floating threshold value;

[0072] Step 6: The optimization module performs fitting processing according to the set optimal optimization curve based on the current frequency response curve, and sets the low-frequency gain value through the optimization module;

[0073] Step 7: The intelligent learning module completes the intelligent learning and stores it in the cloud database;

[0074] Step 8: The intelligent learning module transmits optimization instructions to the processing module for the subsequently generated audio parameter data according to the optimization method obtained by the optimization module and stored in the cloud database.

[0075] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit thereof, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An open-type headphone bass enhancement implementation and optimization system, including a headphone bass enhancement processing system and an enhanced bass circuit, characterized in that: The headphone bass enhancement processing system includes a front-end module and a mid-end module; The front-end module includes a signal receiving module, a processing module and an output module, wherein the signal receiving module is electrically connected to the processing module, and the processing module is electrically connected to the output module and the enhanced bass circuit; The mid-end module includes an audio parameter data acquisition module, an optimization module, an adaptive adjustment module and an intelligent learning module; The audio parameter data acquisition module is electrically connected to the optimization module, and the optimization module is electrically connected to the intelligent learning module; The function of the bass enhancement circuit is to suppress the negative feedback generated by the high frequency part through the characteristics of the second-order filter circuit, and to achieve a low-pass filter effect through suppression, thereby enhancing the bass effect.

2. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The signal receiving module is used to receive the digital audio signal transmitted by the operating terminal through the Bluetooth function module, and confirm the audio type to be played according to the current transmission protocol, and the transmission protocol is the Bluetooth 5.4 data transmission protocol.

3. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The output module plays the audio parameter data received by the signal receiving module through the output module, and the output of the output module is a dynamic hyperbolic ultra-low frequency sound effect; The effect of the dynamic hyperbolic ultra-low frequency sound effect is achieved through a hyperbolic filter, and the hyperbolic function and Fourier series accurately control the harmonics generated according to the different signal sizes and frequencies.

4. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The processing module includes a planning module, a noise processing module and an adaptive compensation module. The planning module receives the optimization method of the audio parameter data currently required to be played transmitted by the intelligent learning module, and optimizes the audio parameter data in this way; The function of the noise processing module is to separate the noise information from the audio parameter data by using a denoising algorithm on the current audio parameter data.

5. The open-earphone bass enhancement implementation and optimization system according to claim 4, characterized in that: The function of the adaptive compensation module is to analyze the user's sensitivity at different frequencies by using the ALEC adaptive compensation technology, and to accurately compensate for the high-frequency and low-frequency audio according to the user's actual auditory perception.

6. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The function of the audio parameter data acquisition module is to collect the current audio parameter data and obtain the frequency response curve according to the current audio parameter data. The audio parameter data acquisition module includes a transmission module, an analysis module and a sound acquisition module. The audio parameter data acquisition module can also be electrically connected to the intelligent software.

7. The open-earphone bass enhancement implementation and optimization system according to claim 6, characterized in that: The specific steps of the audio parameter data acquisition module to obtain the frequency response curve are: S1: When the output module performs audio output, it responds to the sound collection module; S2: Collect the currently playing output audio through the sound collection module; S3: Acquire actual audio parameter data of the audio parameter data by acquisition; S4: Analyzing the acquired actual audio parameter data through an analysis module; S5: Obtain the frequency response curve of the current audio parameter data and transmit it to the optimization module.

8. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The function of the optimization module is to receive the frequency response curve of the audio parameter data generated by the audio parameter data acquisition module, perform fitting processing according to the set optimal optimization curve based on the current frequency response curve, and set the low-frequency gain value through the optimization module, and the low-frequency gain value is 9db to 10db, and perform bass optimization processing on the audio parameter data output by the output module in real time through the optimization module.

9. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The function of the adaptive adjustment module is to fine-tune the volume of the audio parameter data according to the set volume floating threshold value through the adaptive adjustment module when the audio parameter data is played to the set frequency response curve threshold value.

10. The open-earphone bass enhancement implementation and optimization system according to claim 1, characterized in that: The intelligent learning module includes a cloud database. The function of the intelligent learning module is to transmit optimization instructions to the processing module for the subsequently generated audio parameter data according to the optimization method obtained by the optimization module and stored in the cloud database, so that the audio parameter data can be processed faster by the processing module. The standards stored in the cloud database are the unique authentication indicators and frequency response curves of the audio parameter data.

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