A vehicle-mounted sound effect adjustment control system

Abstract

This invention relates to the field of sound effect adjustment and control technology, specifically disclosing an in-vehicle sound effect adjustment and control system. The system includes a vibration detection module, a data analysis module, an impact identification module, and a sound effect adjustment module. Sensors installed in key parts of the vehicle are used to detect vibration data of the vehicle at the current time point in real time. The vibration data at the current time point is analyzed to assess the potential impact coefficient of the vibration data on the in-vehicle sound effect. If a potential impact is found, the vehicle's voice recognition sensor is activated to identify the sound effect category at the current time point and adjust the corresponding sound effect category. This effectively addresses the impact of various vibrations on sound quality during driving. This method not only improves the quality and clarity of the in-vehicle sound effect but also enhances driving safety and comfort, providing users with a superior driving experience.

Description

Technical Field

[0001] This invention belongs to the field of sound effect adjustment and control technology, and relates to an in-vehicle sound effect adjustment and control system. Background Technology

[0002] The necessity of adjusting audio settings while driving lies in improving sound quality and driving safety. Vibrations and noise during driving can interfere with in-car audio, affecting the listening experience of music and the clarity of navigation instructions. By adjusting audio settings in real time, audio interference caused by road conditions and vehicle operation can be compensated for, ensuring the layering of music and the accuracy of navigation. This not only improves the passenger's auditory experience but also reduces the risk of driver distraction due to unclear audio, thereby enhancing overall driving comfort and safety.

[0003] Current technologies for sound effect adjustment primarily focus on frequency analysis, environmental noise identification, and adaptive filtering. Frequency analysis optimizes sound quality by identifying the spectral characteristics of audio signals, but it may lack accuracy in complex environments. Environmental noise identification requires robust algorithms but is prone to misjudgment in situations with multiple noise sources. While adaptive filters can dynamically adjust sound effects, they face challenges in real-time performance and computational complexity. These shortcomings can be overcome by incorporating vehicle vibration data. By monitoring the frequency and amplitude of vehicle vibrations in real time, sound interference caused by vibrations can be accurately identified and compensated for, thereby dynamically adjusting bass and treble output to maintain a balanced and rich sound quality. Summary of the Invention

[0004] In view of the problems existing in the prior art, the present invention provides an in-vehicle audio effect adjustment and control system to solve the above-mentioned technical problems.

[0005] To achieve the above and other objectives, the technical solution adopted by the present invention is as follows:

[0006] The present invention provides an in-vehicle audio effect adjustment and control system, including a vibration detection module, a data analysis module, an impact identification module, and an audio effect adjustment module. The above modules are connected by wired and / or wireless connection to realize data transmission between the modules.

[0007] Vibration detection module: Using sensors installed on key parts of the vehicle, it is used to detect the vibration data of the vehicle in real time at the current point in time; the vibration data of the vehicle at the current point in time includes vibration frequency, vibration amplitude, vibration direction and vibration acceleration;

[0008] Data Analysis Module: Receives data from the vibration detection module, analyzes the vehicle's vibration data at the current time point, and then evaluates the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect;

[0009] Impact identification module: Based on the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effects, it judges whether there is a potential impact. If there is a potential impact, the sound effect adjustment module is executed; otherwise, the vibration detection module is executed.

[0010] Sound effect adjustment module: Activate the vehicle's voice recognition sensor to identify the sound effect category corresponding to the current time point, and then adjust the corresponding sound effect category.

[0011] The vibration data of the vehicle at the current time point is analyzed. The specific analysis process is as follows:

[0012] The vibration frequency, vibration acceleration, and vibration amplitude of the vehicle at the current time point are obtained, and then normalized to obtain the standard vibration frequency, standard vibration acceleration, and standard vibration amplitude of the vehicle at the current time point.

[0013] Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ;

[0014] Simultaneously collect the sound propagation direction vector of the vehicle. ;

[0015] Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value. ;

[0016] Modulus operations are performed on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle, respectively, to obtain the magnitude of the vibration direction vector of the vehicle at the current time point. and the magnitude of the vehicle's sound propagation direction vector ;

[0017] Therefore, the angle between the vehicle's vibration direction and the sound propagation direction at the current time point can be calculated. .

[0018] The potential impact coefficient of the vehicle's vibration data at the current point in time on the in-vehicle sound effects is evaluated. The specific evaluation process is as follows:

[0019] The vibration frequency influence coefficient of the vehicle at the current time point is calculated using a nonlinear function. f is the standard vibration frequency of the vehicle at the current time point, e is the natural constant, and f0 is a predefined upper limit threshold for the vibration frequency with the greatest frequency influence. The set frequency adjustment factor;

[0020] The vibration amplitude influence coefficient of the vehicle at the current time point is calculated using a square function. A represents the standard vibration amplitude of the vehicle at the current time. The set amplitude adjustment factor;

[0021] The influence coefficient of vehicle vibration direction at the current time point is calculated using the cosine function. , The set direction adjustment factor;

[0022] The vibration acceleration influence coefficient of the vehicle at the current time point is calculated using a logarithmic function. g is the standard vibration acceleration of the vehicle at the current time point. The acceleration adjustment factor is set.

[0023] Therefore, the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is calculated. ,in These are the vehicle's vibration energy and volume influence factor at the current time point, respectively.

[0024] The vibration energy of the vehicle at the current time point ;

[0025] The volume influence factor of the vehicle at the current time point YL represents the vehicle's volume value at the current time. This is the maximum volume level that the vehicle can achieve.

[0026] The operation logic of the impact identification module is as follows: the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is compared with the set potential impact coefficient threshold. If the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is greater than the set potential impact coefficient threshold, it is determined that the vehicle's vibration data at the current time point has a potential impact on the in-vehicle sound effect; otherwise, it is determined that the vehicle's vibration data at the current time point has no potential impact on the in-vehicle sound effect.

[0027] The sound effects are categorized into voice navigation sound effects and music playback sound effects.

[0028] The specific process for identifying the sound effect category corresponding to the current time point for the vehicle is as follows:

[0029] Based on the sensors installed inside the vehicle, the audio segment corresponding to the current time point of the vehicle's audio system is extracted, and the audio segment is divided into multiple time frames, each containing N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained from them, which are divided into short-time energy, spectral features, zero crossover rate and Mel frequency cepstral coefficients;

[0030] To classify the extracted features using machine learning algorithms: First, a training set needs to be prepared, containing labeled audio samples of voice navigation and music playback; then, a classification model is trained using the training set.

[0031] The system will capture the current audio segment, extract the above features, and input these features into the trained classification model; then, based on the category label output by the model, it will indicate whether the current audio is a voice navigation sound effect or a music playback sound effect.

[0032] If the vehicle's sound effect category for the current time point is identified as voice navigation sound effect, the steps to adjust the corresponding sound effect category are as follows:

[0033] Obtain the vibration frequency of the vehicle at the current time point. ;

[0034] Based on the audio segment from the vehicle's audio system corresponding to the current time point, the key frequencies of the navigation signal from the vehicle's audio system corresponding to the current time point are extracted. ;

[0035] Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the key frequency of the navigation signal from the vehicle's audio system at the current time point. , where i is the frequency currently being analyzed. Let i represent the amplitudes of the speech signal and the vibration signal at frequency i, respectively. It is a natural exponential function, that is, an exponential function with the real number e as its base. This refers to the frequency bandwidth parameter.

[0036] Then, the gain adjustment function for the voice navigation sound effect is calculated. , The gain adjustment factor is set, and Δi is the frequency window width;

[0037] The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal to adjust specific frequency components. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to obtain the adjusted voice navigation sound effect.

[0038] If the vehicle's sound effect category for the current time point is identified as music playback, the steps to adjust the corresponding sound effect category are as follows:

[0039] Obtain the vibration frequency of the vehicle at the current time point. ;

[0040] Based on the audio segment corresponding to the current time point of the vehicle's audio system, the music signal of the vehicle's audio system at the current time point is analyzed, and then the main frequencies of the music signal of the vehicle's audio system at the current time point are identified. ;

[0041] Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the main frequency of the music signal from the vehicle's audio system at the current time point. , Let i be the amplitude of the music signal at frequency i;

[0042] Therefore, the gain adjustment function for music playback sound effects is calculated. , These are the set gain adjustment coefficients. These are the frequency window widths for low and high frequencies, respectively. These represent the low and high frequencies of the music signal from the vehicle's audio system at the current time.

[0043] The gain adjustment function of music playback effect is applied to the spectrum of music signal to adjust specific frequency components. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to obtain the adjusted music playback effect.

[0044] Another aspect of the present invention provides an in-vehicle audio effect adjustment control device, including a processor, a memory, and a communication bus;

[0045] The memory stores a computer-readable program that can be executed by the processor;

[0046] The communication bus enables communication between the processor and the memory;

[0047] The processor executes the computer-readable program to implement an in-vehicle audio adjustment control system as described in this invention.

[0048] As described above, the in-vehicle audio adjustment and control system provided by the present invention has at least the following beneficial effects:

[0049] (1) Vehicles are subject to various vibration sources during operation, such as uneven road surfaces, engine operation, and wind noise. These vibrations not only affect vehicle comfort but also interfere with in-vehicle sound effects, especially the clarity of music playback and navigation instructions. Real-time vibration data detection can help identify the frequency and amplitude of these interferences and assess their potential impact on in-vehicle sound effects. By analyzing vibration data, an impact coefficient can be calculated to quantify the degree of vibration interference with sound effects. This real-time analysis enables the vehicle to automatically adjust sound settings when vibration has a significant impact, in order to maintain clear and rich sound quality.

[0050] (2) Activating the vehicle's voice recognition sensor to identify the current sound effect category is another crucial step. Sound effect categories within the vehicle may include music playback, navigation commands, and telephone calls. Different sound effect categories have different requirements for sound quality. For example, music playback may require richer bass and treble, while navigation commands require clearer mid-range frequencies. By identifying the current sound effect category, the system can adjust the sound settings accordingly, enhancing the performance of specific frequencies and suppressing unnecessary noise interference. The benefit of this dynamic adjustment is that it significantly improves the in-vehicle auditory experience. In music playback mode, this adjustment ensures that the bass and treble of the music are not masked by vibrations, maintaining the music's layering and detail. In navigation mode, it enhances the clarity of voice commands, ensuring that the driver can accurately hear and understand navigation prompts, thereby improving driving safety and convenience.

[0051] (3) The necessity of this system is also reflected in its protection of the driver's attention. By automatically adjusting the sound effects, the driver does not need to manually adjust the volume or sound settings, thereby reducing the possibility of distraction. This not only improves driving safety but also enhances the overall comfort of the driving experience.

[0052] (4) By detecting and analyzing vibration data in real time and combining it with voice recognition technology to dynamically adjust the in-vehicle sound effects, the impact of various vibrations on sound quality during driving can be effectively addressed. This method not only improves the quality and clarity of the in-vehicle sound effects, but also enhances driving safety and comfort, providing users with a better driving experience. Attached Figure Description

[0053] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0054] Figure 1 This is a schematic diagram showing the connections of the various modules in the system of the present invention. Detailed Implementation

[0055] The following description, in conjunction with the implementation of this invention, is merely an example and illustration of the concept of this invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the inventive concept or exceed the scope defined in these claims, all of which should fall within the protection scope of this invention.

[0056] Example 1

[0057] Please see Figure 1As shown, an in-vehicle audio adjustment and control system includes a vibration detection module, a data analysis module, an impact identification module, and an audio adjustment module. The above modules are connected by wired and / or wireless connections to realize data transmission between the modules.

[0058] Vibration detection module: Using sensors installed on key parts of the vehicle, it is used to detect the vibration data of the vehicle in real time at the current point in time; wherein the vibration data of the vehicle at the current point in time includes vibration frequency, vibration amplitude, vibration direction and vibration acceleration;

[0059] Data Analysis Module: Receives data from the vibration detection module, analyzes the vehicle's vibration data at the current time point, and then evaluates the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect;

[0060] The vibration data of the vehicle at the current time point is analyzed. The specific analysis process is as follows:

[0061] The vibration frequency, vibration acceleration, and vibration amplitude of the vehicle at the current time point are obtained, and then normalized to obtain the standard vibration frequency, standard vibration acceleration, and standard vibration amplitude of the vehicle at the current time point.

[0062] Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ;

[0063] To convert the vehicle's vibration direction at the current time point into a vibration direction vector, acceleration sensors installed on key parts of the vehicle measure acceleration values ​​in three orthogonal directions (typically the front-to-back, left-to-right, and up-down directions of the vehicle body). These acceleration values ​​represent the components of the vibration direction. By acquiring this data in real time, a vibration direction vector V = (V_x, V_y, V_z) can be constructed, where (V_x), (V_y), and (V_z) represent the acceleration components in the three directions, respectively. These components can be directly obtained from the sensor outputs, and after filtering and calibration, form the vibration direction vector for further analysis and calculation.

[0064] Simultaneously collect the sound propagation direction vector of the vehicle. ;

[0065] Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value. ;

[0066] Modulus operations are performed on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle, respectively, to obtain the magnitude of the vibration direction vector of the vehicle at the current time point. and the magnitude of the vehicle's sound propagation direction vector ;

[0067] Therefore, the angle between the vehicle's vibration direction and the sound propagation direction at the current time point can be calculated. .

[0068] The potential impact coefficient of the vehicle's vibration data at the current point in time on the in-vehicle sound effects is evaluated. The specific evaluation process is as follows:

[0069] The vibration frequency influence coefficient of the vehicle at the current time point is calculated using a nonlinear function. f is the standard vibration frequency of the vehicle at the current time point, e is the natural constant, and f0 is a predefined upper limit threshold for the vibration frequency with the greatest frequency influence. The set frequency adjustment factor;

[0070] The vibration amplitude influence coefficient of the vehicle at the current time point is calculated using a square function. A represents the standard vibration amplitude of the vehicle at the current time. The set amplitude adjustment factor;

[0071] The influence coefficient of vehicle vibration direction at the current time point is calculated using the cosine function. , The set direction adjustment factor;

[0072] The vibration acceleration influence coefficient of the vehicle at the current time point is calculated using a logarithmic function. g is the standard vibration acceleration of the vehicle at the current time point. The acceleration adjustment factor is set.

[0073] Therefore, the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is calculated. ,in These are the vehicle's vibration energy and volume influence factor at the current time point, respectively.

[0074] The vibration energy of the vehicle at the current time point ;

[0075] The volume influence factor of the vehicle at the current time point YL represents the vehicle's volume value at the current time. This is the maximum volume level that the vehicle can achieve.

[0076] Impact identification module: Based on the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effects, it judges whether there is a potential impact. If there is a potential impact, the sound effect adjustment module is executed; otherwise, the vibration detection module is executed.

[0077] The operation logic of the impact identification module is as follows: the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is compared with the set potential impact coefficient threshold. If the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is greater than the set potential impact coefficient threshold, it is determined that the vehicle's vibration data at the current time point has a potential impact on the in-vehicle sound effect; otherwise, it is determined that the vehicle's vibration data at the current time point has no potential impact on the in-vehicle sound effect.

[0078] Sound effect adjustment module: Activate the vehicle's voice recognition sensor to identify the sound effect category corresponding to the current time point, and then adjust the corresponding sound effect category.

[0079] The sound effects are categorized into voice navigation sound effects and music playback sound effects.

[0080] The specific process for identifying the sound effect category corresponding to the current time point for the vehicle is as follows:

[0081] Based on the sensors installed inside the vehicle, the audio segment corresponding to the current time point of the vehicle's audio system is extracted, and the audio segment is divided into multiple time frames, each containing N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained from them, which are divided into short-time energy, spectral features, zero crossover rate and Mel frequency cepstral coefficients;

[0082] To classify the extracted features using machine learning algorithms: First, a training set is needed, containing labeled audio samples of voice navigation and music playback. A classification model, such as a Support Vector Machine (SVM), Random Forest, or neural network, is then trained using this set. These models can learn the feature patterns of different categories of sound effects.

[0083] The system captures the current audio segment, extracts the aforementioned features, and inputs these features into a trained classification model. The model then outputs a category label based on the input features, indicating whether the current audio is a voice navigation sound effect or a music playback sound effect.

[0084] Short-time energy: Short-time energy is an indicator that measures the energy change of an audio signal over a short period of time. Voice navigation typically contains short speech segments and noticeable pauses, therefore short-time energy exhibits a clear fluctuation pattern over time. Music playback, on the other hand, usually has a more continuous and stable energy distribution.

[0085] Spectral characteristics: Audio signals can be transformed from the time domain to the frequency domain using the Fast Fourier Transform (FFT). Speech signals typically focus on the mid-frequency range, while music signals may cover a wider frequency range. Therefore, analyzing spectral characteristics can help distinguish between these two categories;

[0086] Zero-crossing rate: The zero-crossing rate refers to the number of times a signal crosses a zero. Speech signals typically have a high zero-crossing rate because speech contains more transients and faster changes, while music signals may have a relatively low zero-crossing rate.

[0087] Mel-frequency cepstral coefficients (MFCCs): These are commonly used features in audio signal processing, effectively capturing the acoustic characteristics of speech. By extracting MFCCs, the features of voice navigation sound effects can be better characterized.

[0088] If the vehicle's sound effect category for the current time point is identified as voice navigation sound effect, the steps to adjust the corresponding sound effect category are as follows:

[0089] Obtain the vibration frequency of the vehicle at the current time point. ;

[0090] Based on the audio segment from the vehicle's audio system corresponding to the current time point, the key frequencies of the navigation signal from the vehicle's audio system corresponding to the current time point are extracted. ;

[0091] Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the key frequency of the navigation signal from the vehicle's audio system at the current time point. , where i is the frequency currently being analyzed. Let i represent the amplitudes of the speech signal and the vibration signal at frequency i, respectively. It is the natural exponential function, that is, an exponential function with the real number e (e≈2.71828) as its base. This refers to the frequency bandwidth parameter.

[0092] In the above formula This represents the amplitude of the vibration signal over a wide frequency range; this value can be obtained by performing a Fast Fourier Transform (FFT) on the vibration signal. It is used to measure the potential interference of vibration on speech signals.

[0093] In the above formula This represents a Gaussian function used to describe the range of influence of frequency interference. This indicates the distance between the current frequency and the critical frequency. Controlling the width of the Gaussian function determines the frequency range of the interference effect;

[0094] Then, the gain adjustment function for the voice navigation sound effect is calculated. , The gain adjustment factor is set, and Δi is the frequency window width;

[0095] The first term in the above formula is used to reduce the gain at the interfered frequency, and the second term is used to enhance the frequency near the critical frequency.

[0096] The gain adjustment function of the voice navigation sound effect determines the amount of gain adjustment at each frequency range. By adjusting the gain, the key frequencies of the voice signal can be enhanced, and the influence of vibration noise can be suppressed. The calculation formula of the gain adjustment function of the voice navigation sound effect mentioned above takes into account the frequency interference coefficient to compensate for the interference of vibration on the voice signal. By using the gain adjustment coefficient α and the frequency window width Δi, enhancement can be performed near the key frequencies to improve the clarity of navigation instructions.

[0097] The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal to adjust specific frequency components. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to obtain the adjusted voice navigation sound effect.

[0098] If the vehicle's sound effect category for the current time point is identified as music playback, the steps to adjust the corresponding sound effect category are as follows:

[0099] Obtain the vibration frequency of the vehicle at the current time point. ;

[0100] Based on the audio segment corresponding to the current time point of the vehicle's audio system, the music signal of the vehicle's audio system at the current time point is analyzed, and then the main frequencies of the music signal of the vehicle's audio system at the current time point are identified. ;

[0101] Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the main frequency of the music signal from the vehicle's audio system at the current time point. , Let i be the amplitude of the music signal at frequency i;

[0102] Therefore, the gain adjustment function for music playback sound effects is calculated. , These are the set gain adjustment coefficients. These are the frequency window widths for low and high frequencies, respectively. These represent the low and high frequencies of the music signal from the vehicle's audio system at the current time.

[0103] The gain adjustment function of music playback effect is applied to the spectrum of music signal to adjust specific frequency components. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to obtain the adjusted music playback effect.

[0104] Adjusting the sound effects of music playback modes in a vehicle vibration environment involves a gain adjustment function designed based on the theoretical foundations of frequency response and human hearing characteristics. Vibration frequencies can interfere with audio signals, particularly significantly affecting the low and high frequency ranges. By analyzing the interference of vibration frequencies on music frequencies, the gain can be dynamically adjusted to compensate for or enhance the sound experience at specific frequencies. The gain adjustment function dynamically adjusts the gain for low and high frequencies by calculating the degree of interference of vibration on different music frequencies. For example, low-frequency vibrations may mask the bass frequencies in music, thus requiring an increase in low-frequency gain to compensate for this interference. Similarly, high-frequency vibrations can affect the clarity of treble frequencies, and adjusting the high-frequency gain can enhance the detail in the music. Parameters in the gain adjustment function, such as β and δ, can be optimized based on experimental data to ensure optimal sound effects under different vibration conditions.

[0105] As vehicles travel on different road conditions, the frequency and intensity of vibrations change, posing a challenge to in-car audio systems. Traditional fixed sound settings cannot handle these dynamic changes, while real-time gain adjustments can minimize the negative impact of vibrations on sound quality. This not only enhances the in-car entertainment experience but also reduces fatigue during long drives, improving the comfort of the driver and passengers. In this way, in-car audio systems can provide a more balanced and richer sound quality, meeting the needs of users with high audio quality requirements.

[0106] Example 2

[0107] A vehicle audio adjustment control device includes a processor, a memory, and a communication bus;

[0108] The memory stores a computer-readable program that can be executed by the processor;

[0109] The communication bus enables communication between the processor and the memory;

[0110] The processor executes the computer-readable program to implement an in-vehicle audio adjustment control system as described in this invention.

[0111] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0112] It should be understood that determining B based on A does not mean determining B solely based on A; it also means determining B based on A and / or other information.

[0113] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0114] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A vehicle-mounted audio effect adjustment and control system, characterized in that, It includes a vibration detection module, a data analysis module, an impact identification module, and a sound effect adjustment module. These modules are connected via wired and / or wireless connections to enable data transmission between them. The vibration detection module uses sensors installed in key parts of the vehicle to detect the vehicle's vibration data in real time at the current point in time. The data analysis module receives vibration data from the vibration detection module, analyzes the vibration data of the vehicle at the current time point, and then evaluates the potential impact coefficient of the vibration data of the vehicle at the current time point on the in-vehicle sound effect. The impact identification module judges the potential impact coefficient of the in-vehicle sound effect based on the vibration data of the vehicle at the current time point. If there is a potential impact, the sound effect adjustment module is executed; otherwise, the vibration detection module is executed. Sound effect adjustment module: Activates the vehicle's voice recognition sensor to identify the sound effect category corresponding to the current time point, and then adjusts the corresponding sound effect category; the sound effect categories are divided into voice navigation sound effects and music playback sound effects; The specific process for identifying the sound effect category corresponding to the current time point for the vehicle is as follows: Based on the sensors installed inside the vehicle, the audio segment corresponding to the current time point of the vehicle's audio system is extracted, and the audio segment is divided into multiple time frames, each containing N sampling points, thereby obtaining the audio signal of each sampling point; and the audio features of each sampling point are obtained from them, which are divided into short-time energy, spectral features, zero crossover rate and Mel frequency cepstral coefficients; The extracted audio features are classified using machine learning algorithms. A training set is prepared, which contains labeled audio samples of voice navigation and music playback. A classification model is trained using the training set. The in-vehicle audio adjustment and control system captures the current audio segment, extracts the aforementioned audio features, and inputs these audio features into a trained classification model; then, based on the category label output by the model, it indicates whether the current audio is a voice navigation sound effect or a music playback sound effect. If the vehicle's sound effect category for the current time point is identified as voice navigation sound effect, the steps to adjust the corresponding sound effect category are as follows: Obtain the vibration frequency of the vehicle at the current time point. ; Based on the audio segment from the vehicle's audio system corresponding to the current time point, the key frequencies of the navigation signal from the vehicle's audio system corresponding to the current time point are extracted. ; Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the key frequency of the navigation signal from the vehicle's audio system at the current time point. , where i is the frequency currently being analyzed. Let i represent the amplitudes of the speech signal and the vibration signal at frequency i, respectively. It is a natural exponential function, that is, an exponential function with the real number e as its base. This refers to the frequency bandwidth parameter. Then, the gain adjustment function for the voice navigation sound effect is calculated. , The gain adjustment factor is set, and Δi is the frequency window width; The gain adjustment function of the voice navigation sound effect is applied to the spectrum of the voice signal, and specific frequency components are adjusted accordingly. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform, and the adjusted voice navigation sound effect is finally obtained. If the vehicle's sound effect category for the current time point is identified as music playback, the steps to adjust the corresponding sound effect category are as follows: Obtain the vibration frequency of the vehicle at the current time point. ; Based on the audio segment corresponding to the current time point of the vehicle's audio system, the music signal of the vehicle's audio system at the current time point is analyzed, and then the main frequencies of the music signal of the vehicle's audio system at the current time point are identified. ; Calculate the interference coefficient of the vehicle's vibration frequency at the current time point, corresponding to the main frequency of the music signal from the vehicle's audio system at the current time point. , Let i be the amplitude of the music signal at frequency i; Therefore, the gain adjustment function for music playback sound effects is calculated. , These are the set gain adjustment coefficients. These are the frequency window widths for low and high frequencies, respectively. These represent the low and high frequencies of the music signal from the vehicle's audio system at the current time. The gain adjustment function of music playback effect is applied to the spectrum of music signal to adjust specific frequency components. Finally, the adjusted spectrum is converted back to the time domain signal through inverse Fourier transform to obtain the adjusted music playback effect.

2. The vehicle audio effect adjustment and control system according to claim 1, characterized in that, The vibration data of the vehicle at the current time point includes vibration frequency, vibration amplitude, vibration direction, and vibration acceleration.

3. The vehicle audio effect adjustment and control system according to claim 1, characterized in that, The vibration data of the vehicle at the current time point is analyzed. The specific analysis process is as follows: The vibration frequency, vibration acceleration, and vibration amplitude of the vehicle at the current time point are obtained, and then normalized to obtain the standard vibration frequency, standard vibration acceleration, and standard vibration amplitude of the vehicle at the current time point. Based on the vibration direction of the vehicle at the current time point, the vibration direction vector of the vehicle at the current time point is obtained. ; Simultaneously collect the sound propagation direction vector of the vehicle. ; Perform a dot product operation on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle to obtain the dot product value. ; Modulus operations are performed on the vibration direction vector of the vehicle at the current time point and the sound propagation direction vector of the vehicle, respectively, to obtain the magnitude of the vibration direction vector of the vehicle at the current time point. and the magnitude of the vehicle's sound propagation direction vector ; Therefore, the angle between the vehicle's vibration direction and the sound propagation direction at the current time point can be calculated. .

4. The vehicle audio effect adjustment and control system according to claim 3, characterized in that, The potential impact coefficient of the vehicle's vibration data at the current point in time on the in-vehicle sound effects is evaluated. The specific evaluation process is as follows: The vibration frequency influence coefficient of the vehicle at the current time point is calculated using a nonlinear function. f is the standard vibration frequency of the vehicle at the current time point, and e is the natural constant. The upper limit threshold of the vibration frequency that has the greatest impact on the predefined frequency. The set frequency adjustment factor; The vibration amplitude influence coefficient of the vehicle at the current time point is calculated using a square function. A represents the standard vibration amplitude of the vehicle at the current time. The set amplitude adjustment factor; The influence coefficient of vehicle vibration direction at the current time point is calculated using the cosine function. , The set direction adjustment factor; The vibration acceleration influence coefficient of the vehicle at the current time point is calculated using a logarithmic function. g is the standard vibration acceleration of the vehicle at the current time point. The acceleration adjustment factor is set. Therefore, the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is calculated. ,in, These are the vehicle's vibration energy and volume influence factor at the current time point, respectively. The vibration energy of the vehicle at the current time point ; The volume influence factor of the vehicle at the current time point YL represents the vehicle's volume value at the current time. This is the maximum volume level that the vehicle can achieve.

5. The vehicle audio effect adjustment and control system according to claim 1, characterized in that, The operational logic affecting the identification module is as follows: The potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is compared with the set potential impact coefficient threshold. If the potential impact coefficient of the vehicle's vibration data at the current time point on the in-vehicle sound effect is greater than the set potential impact coefficient threshold, it is determined that the vehicle's vibration data at the current time point has a potential impact on the in-vehicle sound effect; otherwise, it is determined that the vehicle's vibration data at the current time point has no potential impact on the in-vehicle sound effect.

6. A vehicle audio adjustment control device, comprising a processor, a memory, and a communication bus; The memory stores a computer-readable program that can be executed by the processor; The communication bus enables communication between the processor and the memory; When the processor executes the computer-readable program, it implements the functions of an in-vehicle audio adjustment and control system as described in any one of claims 1-5.

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