CN115002618A - Digital media audio intelligent adjusting method based on big data - Google Patents
Digital media audio intelligent adjusting method based on big data Download PDFInfo
- Publication number
- CN115002618A CN115002618A CN202210601755.1A CN202210601755A CN115002618A CN 115002618 A CN115002618 A CN 115002618A CN 202210601755 A CN202210601755 A CN 202210601755A CN 115002618 A CN115002618 A CN 115002618A
- Authority
- CN
- China
- Prior art keywords
- sequence
- digital media
- user
- volume
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/04—Circuits for transducers, loudspeakers or microphones for correcting frequency response
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
- H04S7/30—Control circuits for electronic adaptation of the sound field
- H04S7/305—Electronic adaptation of stereophonic audio signals to reverberation of the listening space
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
- H04S7/30—Control circuits for electronic adaptation of the sound field
- H04S7/307—Frequency adjustment, e.g. tone control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S2400/00—Details of stereophonic systems covered by H04S but not provided for in its groups
- H04S2400/13—Aspects of volume control, not necessarily automatic, in stereophonic sound systems
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Circuit For Audible Band Transducer (AREA)
Abstract
The invention relates to the technical field of big data and audio frequency regulation, in particular to a digital media audio frequency intelligent regulation method based on big data. The method comprises the following steps: obtaining a difference sequence, a first sequence, a second sequence and an adjusting coefficient sequence; obtaining habit coefficients of the user by utilizing the adjusting coefficient sequence: obtaining a noise evaluation value based on the difference sequence, and obtaining the proportionality coefficients of the left channel and the right channel of the digital media device according to the first sequence and the second sequence; and formulating a volume adjustment strategy, and adjusting the audio volume of the equipment based on the noise evaluation value, the element values in the first sequence and the second sequence, the habit coefficient of the user and the proportionality coefficient corresponding to the distance between the user and the digital media equipment in combination with the volume adjustment strategy. The invention considers a plurality of factors and can accurately adjust the audio volume to a level suitable for the user to listen; and the volume modifier conforms to the gamma curve, so that the volume change in the process of adjusting the audio volume is smooth enough, and a user has good listening experience.
Description
Technical Field
The invention relates to the technical field of big data and audio frequency regulation, in particular to a digital media audio frequency intelligent regulation method based on big data.
Background
With the advent of various digital media devices, these digital media devices are applied to many scenes, such as televisions in homes, outdoor large-screen players, multimedia devices in conference rooms, etc., and when people watch televisions, watch large screens, and watch other multimedia devices, in order to accurately obtain the content played by the multimedia playing devices, the people need to accurately listen to the information transmitted by sound; factors influencing the listening of people are many, such as the distance from the digital media device, the environment, and the volume of the audio of the digital media device to which people are accustomed.
In the prior art, there are many methods for intelligently adjusting the volume of the device through the distance between the user and the digital media playing device, the noise of the environment where the user is located, and the habit of the user when using the digital media device, but the volume of the device is automatically adjusted through some factor of the factors influencing the listening experience of the user, and the volume that is often adjusted cannot meet the requirements of the user, and cannot provide good listening experience for the user.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide an intelligent digital media audio adjustment method based on big data, which adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a big data-based digital media audio intelligent adjustment method: acquiring a difference value between an environmental noise amplitude value and a sound amplitude value of the digital media equipment to obtain a difference value sequence, wherein one second corresponds to one difference value sequence; obtaining sound amplitudes of a left sound channel and a right sound channel corresponding to the distance change between a user and the digital media equipment, and respectively forming a first sequence and a second sequence; the ratio of the modifier when the user adjusts the audio volume each time to the volume before adjustment forms an adjustment coefficient sequence;
obtaining a habit coefficient of a user by using the mean value and the variance of elements in the adjusting coefficient sequence; respectively obtaining the variance and the mean of the difference sequence corresponding to two adjacent seconds; obtaining a noise evaluation value based on the correlation of the variation trend of the difference sequence corresponding to two adjacent seconds, the variance of the difference sequence and the mean value of the difference sequence;
obtaining the sum of element values in a first sequence and a second sequence corresponding to the same distance, wherein the ratio of the element value corresponding to the same distance in the second sequence to the sum of the element values is the proportionality coefficient of the left channel and the right channel; and formulating a volume adjustment strategy, and adjusting the audio volume of the equipment based on the noise evaluation value, the element values in the first sequence and the second sequence, the habit coefficient of the user and the proportionality coefficient corresponding to the distance between the user and the digital media equipment in combination with the volume adjustment strategy.
Preferably, the acquiring the difference between the ambient noise amplitude and the sound amplitude of the digital media device to obtain a difference sequence includes: setting a sampling frequency, and acquiring the amplitude of the environmental noise and the sound amplitude of the digital media equipment within one second based on the sampling frequency; and obtaining the difference value between the amplitude of the environmental noise corresponding to the time and the sound amplitude of the digital media equipment to form a difference value sequence, wherein the sequence of the difference value sequence is a time sequence.
Preferably, obtaining the sound amplitudes of the corresponding left channel and right channel as the distance between the user and the digital media device varies, and composing the first sequence and the second sequence respectively comprises: acquiring the position of a user and the distance between the user and the digital media equipment, and simultaneously acquiring the sound amplitude of a left sound channel and a right sound channel at the position of the user; the element in the first and second sequences respectively composed of the sound amplitude of the left channel and the sound amplitude of the right channel corresponding to each position contains the distance information between each position where the user is located and the digital media device.
Preferably, before obtaining the habit coefficient of the user by using the mean and variance of the elements in the adjustment coefficient sequence, the method further comprises: and processing the adjusting coefficient sequence by utilizing median filtering to obtain a new adjusting coefficient sequence.
Preferably, the obtaining the habit coefficient of the user by using the mean and the variance of the elements in the adjustment coefficient sequence comprises: the mean value and the variance of the elements in the adjusting coefficient sequence are in positive correlation with the habit coefficient.
Preferably, the noise evaluation value is:
wherein c is a habit coefficient; k j For the sequence of differences corresponding to the j second, K j-1 The difference value sequence is corresponding to the j-1 second;
m is the total number of elements in the difference sequence; STD (K) j ) Denotes the variance of the jth difference sequence, STD (K) j-1 ) The variance of the j-1 th difference sequence is shown.
Preferably, the ratio of the element value corresponding to the same distance in the second sequence to the sum of the element values is a scaling factor of the left and right channels, and comprises: the scaling factors corresponding to different distances between the user and the digital media device and different volumes of the digital media device are different.
Preferably, the volume adjustment strategy comprises: when the noise evaluation value is larger than 1, adjusting the audio volume of the digital media equipment; adjusting the audio volume of the digital media device to a volume adjustment strategy based on the gamma curve.
Preferably, adjusting the audio volume of the device in combination with the volume adjustment strategy comprises: obtaining elements in a first sequence and a second sequence corresponding to the distance between a user and the digital media device when the volume is adjusted; and obtaining a volume modifier on the gamma curve by using the obtained element value, the habit coefficient, the scale coefficient and the noise evaluation value of the user.
The embodiment of the invention at least has the following beneficial effects: the invention analyzes the noise of the surrounding environment when the user watches the digital media device to play the video, the habit of the user for adjusting the audio volume of the device at ordinary times and the distance between the user and the digital media device, and simultaneously combines the gamma curve to adjust the audio volume of the digital media device, thereby taking a plurality of factors influencing the watching experience of the user into consideration, accurately adjusting the audio volume to the level suitable for the user to listen, simultaneously ensuring that the volume change in the process of adjusting the audio volume is smooth enough and not sharp, and ensuring that the user has good listening experience.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flow chart of a big data-based digital media audio intelligent adjustment method.
Detailed Description
To further illustrate the technical means and effects of the present invention for achieving the predetermined objects, the following describes a method for intelligently adjusting digital media audio based on big data according to the present invention, with reference to the accompanying drawings and preferred embodiments, and the detailed implementation, structure, features and effects thereof are described in detail below. In the following description, the different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The following describes a specific scheme of the digital media audio intelligent adjustment method based on big data in detail with reference to the accompanying drawings.
Examples
The main application scenarios of the invention are as follows: the digital media device in the home environment intelligently adjusts the audio volume of the digital media device according to the noise of the surrounding environment, the distance between the user and the digital media device and the listening habit of the user in the process of using the digital media device in the playing process of the digital media device.
Referring to fig. 1, a flowchart of a method for intelligently adjusting digital media audio based on big data according to an embodiment of the present invention is shown, where the method includes the following steps:
the method comprises the following steps: acquiring a difference value between an ambient noise amplitude value and a sound amplitude value of the digital media equipment to obtain a difference value sequence, wherein one second corresponds to one difference value sequence; obtaining sound amplitudes of a left sound channel and a right sound channel corresponding to the distance change between a user and the digital media equipment, and respectively forming a first sequence and a second sequence; the ratio of the modifier at each adjustment of the audio volume by the user to the volume before adjustment constitutes a sequence of adjustment coefficients.
Firstly, when a user watches videos played by digital media equipment, due to different environments where the user is located, noise may appear, the appearance of the noise can give poor viewing experience to the user of the digital media equipment, and when the environmental noise where the user is located is large, the audio volume of the digital media equipment is adjusted in time, so that the whole viewing experience of the user is improved, and therefore data of the environmental noise needs to be collected for subsequent analysis. Recording the difference value between the environmental noise amplitude and the sound amplitude of the video played by the digital media equipment by taking 200HZ as the sampling frequency, thereby obtaining a difference value sequence K j ＝{k 1 ,…,k i In which K is j Is a sequence of differences, k, between the noise amplitude of the j-th second and the sound amplitude of the video i Is the ith difference in the sequence of differences.
Furthermore, when the distance between the user and the digital media device is different, the digital media device can timely adjust the audio volume according to the change of the distance along with the continuous change of the distance, each distance corresponds to the audio volume which is listened by the most suitable user, and the user can be well watched. In this embodiment, the grayscale camera is used to detect the user's activities, record the relative positions of the human body and the digital media device, and calculate the distance between the human body and the digital media device.
The ranging principle of the gray-scale camera is as follows: and recording pixel points on the human body and monitoring by using a camera. The farther the human body is away from the gray level camera, the smaller the pixel point on the human body is; the closer the human body is to the grayscale camera, the larger the pixel point on the human body is. In a using scene, a landmark is arranged on the ground at every other meter from the camera, the landmark is used as a reference object, and the ranging precision of the grayscale camera can be improved in ranging. Similarly, the distance between the user and the digital media device is recorded by taking 200HZ as a sampling frequency to obtain a distance sequence S j ＝{s 1 ,…,s i In which S is j Representing the distance sequence acquired at the jth second, and i represents the distance of the ith individual in the distance sequence from the digital media device.
Furthermore, the change of the distance and the change of the sound amplitude are also needed to be obtained, because the audio system of the digital media device is divided into the left channel and the right channel when playing the video, the change of the sound amplitude of the left channel and the right channel along with the distance needs to be recorded, when the sound amplitude of a certain position is recorded, a distributed acoustic measurement method is adopted, a row of microphones are arranged at a certain position to acquire the sound data of the digital media device when playing the video, so as to obtain the sound amplitude, and the change sequence of the sound amplitude of the left channel along with the distance is obtained by the method
Recording as a first sequence, and obtaining a sequence of the change of the sound amplitude of the right channel along with the distance
Recording as a second sequence, wherein the corresponding distance between every two adjacent elements in the first sequence and the second sequence is the distance between the user and the digital media device; when the volume of the digital media device is different, the sequence of the sound amplitude of the left channel and the sequence of the sound amplitude of the right channel changing along with the distance are different, the number of the changing sequences corresponding to the left channel and the right channel is not only one, and the difference of the changing sequences is determined by the volume of the digital media device.
Finally, the digital media device needs to consider the habit of the user adjusting the audio volume when automatically adjusting the volume, some users may prefer to adjust the audio volume more greatly when using the digital media device, and some users may prefer to adjust the audio volume less greatly, such preference may be only due to the preference of the user, and may also be due to the sensitivity of the user's ear to sound; for example, when the user's hearing sensitivity is low, the audio volume should be appropriately turned up so that the user can hear the sound in the video more clearly, and when the user's hearing sensitivity is high, the audio volume may be turned down. These are collectively referred to as user habits, and usage habit data of the user is obtained.
Under the same condition, giving the same initial audio volume to the digital media device, recording the volume modifier when the user adjusts the audio volume, and obtaining the volume modifier sequence A ═ a ═ of the volume 1 ,…,a j }，a j Representing the modification amount of the user when adjusting the volume j, since each time the audio volume is adjusted, the modification base volume sequence D ═ D is obtained because the modification may be made at a different audio volume 1 ,…,d j }，d j Indicating that the user makes one adjustment based on the jth audio volume; and simultaneously calculating the adjustment coefficient of each adjustment of the user:
wherein p is j The adjustment coefficient for each adjustment by the user can be used to represent the habit of the user to adjust the audio volume, so as to obtain the adjustment coefficient sequence P ═ { P ═ 1 ,…,p i }。
Step two: obtaining a habit coefficient of a user by using the mean value and the variance of elements in the adjusting coefficient sequence; respectively obtaining the variance and the mean of the difference sequence corresponding to two adjacent seconds; and obtaining a noise evaluation value based on the correlation of the variation trend of the corresponding difference sequence between two adjacent seconds, the variance of the difference sequence and the mean value of the difference sequence.
Firstly, the habitual coefficient of the volume adjusted by the user is obtained based on the obtained adjusting coefficient sequence, but before the habitual coefficient is obtained, median filtering needs to be carried out on the adjusting coefficient sequence to remove the influence of noise in the sequence, so that the habitual coefficient is obtainedThe adjusting coefficient sequence can more accurately represent the habit of a user for adjusting the audio volume of the digital media equipment, and a new adjusting coefficient sequence P is obtained after median filtering 1 ＝{p 1 ,…,p z And acquiring a habit coefficient of the user when adjusting the audio volume according to the newly acquired sequence:
wherein W represents a habit coefficient of a user; j represents the number of elements in the new regulatory sequence; p is a radical of z Representing the z-th adjustment coefficient in the new adjustment coefficient sequence; p is 1 Representing a new adjustment coefficient sequence after median filtering;
is a sequence of median filtered conditioning coefficients P 1 The average value of the elements in (a),
is an evaluation of the stability of the sequence, with a value range of [0, 1 ]]The adjustment coefficient is corrected; when W is greater than 1, it means that the user is used to and prefers to need a higher audio volume when watching video, and when W is less than 1, it means that the user is used to and prefers to need a smaller audio volume when watching video.
Further, the influence of ambient noise on adjusting the audio volume needs to be studied, and when the environment where the user is located has large noise and the noise is persistent, the audio volume of the digital media device should be adjusted, so that the user has a better viewing experience. On the basis of a difference sequence of the recorded environmental noise amplitude and the sound amplitude of the video played by the digital media device, when noise is generated in the surrounding environment, how to adjust the volume is researched, and the noise generated in the surrounding environment may be discontinuous, so that the adjustment of the audio volume of the digital media device only needs to be adjusted when the noise is judged to be continuous, the frequency is not too fast when the volume is adjusted, and the listening experience of a user is influenced when the frequency is too fast; obtaining the time when the noise exists, obtaining a noise evaluation value:
wherein c represents a noise evaluation value; STD (K) j ) Denotes the variance of the jth difference sequence, STD (K) j-1 ) Represents the variance of the j-1 th difference sequence, wherein the value of j is more than or equal to 2,
evaluating the stability degree of the difference sequence of two adjacent seconds; m represents the number of elements in the difference sequence.
The value range of the noise evaluation value c is [0, 2], when the noise evaluation value c calculated in two adjacent seconds is smaller than or equal to 1, the difference between the noise sound amplitude and the audio volume of the digital media device is small, the change value of the noise is in a mutant type, and the audio volume of the digital media device does not need to be adjusted; and when the noise evaluation value c calculated by the noise in two adjacent seconds is greater than 1 and less than 2, the noise in two seconds is continuous, and at this time, the noise has a large influence on the viewing experience of the user, and the audio volume of the digital media device needs to be adjusted.
Step three: obtaining the sum of element values in a first sequence and a second sequence corresponding to the same distance, wherein the ratio of the element value corresponding to the same distance in the second sequence to the sum of the element values is the proportionality coefficient of the left channel and the right channel; and formulating a volume adjustment strategy, and adjusting the audio volume of the equipment based on the noise evaluation value, the element values in the first and second sequences, the habit coefficient of the user and a proportionality coefficient corresponding to the distance between the user and the digital media equipment in combination with the volume adjustment strategy.
First, after the noise evaluation value is obtained in the second step, if the audio volume of the digital media device needs to be adjusted according to the noise evaluation value, the influence of the left and right channels needs to be considered when adjusting, and the sound of the left and right channels needs to be ensured to have a certain degree of distinction during adjusting. Therefore, it is necessary to obtain the scaling factor of the left and right channels at the time of volume adjustment from the sound amplitude of the left and right channels corresponding to the distance of the user from the digital media device:
wherein, w h Represents a scaling factor; the reason for obtaining the proportionality coefficient is to enable the user to distinguish the sounds of the left and right channels when watching, and at the same time, not to make the difference between the sounds of the left and right channels too large to cause bad watching experience, wherein the proportionality coefficients corresponding to different distances between the user and the digital media device are different, and the proportionality coefficients corresponding to different audio volumes of the digital media device are different.
The audio volume of the digital media device is adjusted based on the habit coefficient, the noise evaluation value and the proportionality coefficient in combination with the position of the user, when the user is far away from the digital media device, the energy of the sound generated by the loudspeaker is reduced along with the increase of the propagation distance, the amplitude of the sound is continuous in the process of energy attenuation, and therefore the amplitude of the sound heard by the user is in negative correlation with the distance between the user and the digital media device. That is, when the volume is adjusted, the relationship between the adjustment amount and the distance when the audio volume is intelligently adjusted should be obtained by referring to the logical relationship between the user position and the heard sound intensity. Since the amplitude of the sound is linearly attenuated with the distance, the adjustment of the audio volume of the digital media device should be gradually increased with the position of the user.
When the volume is adjusted, a proper volume adjustment strategy should be formulated, or a proper volume adjustment curve is found, and the curve of the gamma curve which is convex upward changes slowly, so that the change trend can be that the volume is not too abrupt when the volume is adjusted, so that the user has better experience, and therefore, the volume adjustment strategy of the embodiment is to adjust based on the gamma curve.
At the moment, the gamma curve is used for adjusting the audio volume, and in the second step, the noise evaluation value is obtained by calculating the change of the noise in two adjacent seconds, so that the volume is required to be adjusted in the 3 rd second, and the 4 th second volume adjustment condition is judged according to the changes of the noise in the 2 nd second and the 3 rd second; taking the noise evaluation value c as a gamma coefficient, the adjustment amount at each adjustment is obtained:
wherein G is f The adjustment amount for the volume adjustment for the f-th time; c. C f Representing the noise evaluation value at the f-th adjustment, and adjusting when the noise evaluation value is larger than 1; w is a h The scale factor of the sound amplitude of the left and right sound channels corresponding to the position of the user;
indicating the magnitude of the right channel sound corresponding to where the user is located,
indicating the left channel sound amplitude corresponding to the position of the user.
When the volume is adjusted, the change relation between the adjustment amount and the distance between the user and the digital media device is mapped to a gamma curve during each adjustment, namely each adjustment within one second, so that the volume can be changed slowly, and the experience of the user cannot be worsened due to sudden change.
The application scenario of this embodiment is a home environment, and from the viewpoint of obtaining a user, a habit of adjusting a volume by the user and a noise evaluation value of a surrounding environment are obtained respectively based on the habit of the user and the noise evaluation value, and further, the volume is adjusted by using gamma mapping based on the noise evaluation value. When the noise of the environment becomes larger, the volume is properly adjusted up according to the habit of the user and the position of the user, and the audio volume can be adjusted in real time, so that the volume can be kept in a proper range when the digital media equipment plays the video.
It should be noted that: the precedence order of the above embodiments of the present invention is only for description, and does not represent the merits of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. A big data-based digital media audio intelligent regulation method is characterized by comprising the following steps: acquiring a difference value between an ambient noise amplitude value and a sound amplitude value of the digital media equipment to obtain a difference value sequence, wherein one second corresponds to one difference value sequence; obtaining sound amplitudes of a left sound channel and a right sound channel corresponding to the distance change between a user and the digital media equipment, and respectively forming a first sequence and a second sequence; the ratio of the modifier when the user adjusts the audio volume each time to the volume before adjustment forms an adjustment coefficient sequence;
obtaining a habit coefficient of a user by using the mean value and the variance of elements in the adjusting coefficient sequence; respectively obtaining the variance and the mean of the difference sequence corresponding to two adjacent seconds; obtaining a noise evaluation value based on the correlation of the variation trend of the difference sequence corresponding to two adjacent seconds, the variance of the difference sequence and the mean value of the difference sequence;
obtaining the sum of element values in a first sequence and a second sequence corresponding to the same distance, wherein the ratio of the element value corresponding to the same distance in the second sequence to the sum of the element values is the proportionality coefficient of the left channel and the right channel; and formulating a volume adjustment strategy, and adjusting the audio volume of the equipment based on the noise evaluation value, the element values in the first and second sequences, the habit coefficient of the user and a proportionality coefficient corresponding to the distance between the user and the digital media equipment in combination with the volume adjustment strategy.
2. The method of claim 1, wherein the acquiring the difference between the ambient noise amplitude and the sound amplitude of the digital media device to obtain the difference sequence comprises: setting a sampling frequency, and acquiring the amplitude of the environmental noise and the sound amplitude of the digital media equipment within one second based on the sampling frequency; and obtaining the difference value between the amplitude of the environmental noise corresponding to the time and the sound amplitude of the digital media equipment to form a difference value sequence, wherein the sequence of the difference value sequence is a time sequence.
3. The method of claim 1, wherein the obtaining the sound amplitudes of the left channel and the right channel corresponding to the distance between the user and the digital media device comprises: acquiring the position of a user and the distance between the user and the digital media equipment, and simultaneously acquiring the sound amplitude of a left sound channel and a right sound channel at the position of the user; the element in the first and second sequences respectively composed of the sound amplitude of the left channel and the sound amplitude of the right channel corresponding to each position contains the distance information between each position where the user is located and the digital media device.
4. The method of claim 1, wherein before obtaining the habit coefficients of the user by using the mean and variance of the elements in the adjustment coefficient sequence, the method further comprises: and processing the adjusting coefficient sequence by utilizing median filtering to obtain a new adjusting coefficient sequence.
5. The big-data-based digital media audio intelligent adjusting method according to claim 1, wherein the obtaining the habit coefficient of the user by using the mean and variance of the elements in the adjusting coefficient sequence comprises: the mean value and the variance of the elements in the adjusting coefficient sequence are in positive correlation with the habit coefficient.
6. The big-data-based digital media audio intelligent adjusting method according to claim 1, wherein the noise evaluation value is:
wherein c is a habit coefficient; k j For the sequence of differences corresponding to the j second, K j-1 The difference value sequence is corresponding to the j-1 second; m is the total number of elements in the difference sequence; STD (K) j ) Denotes the variance of the jth difference sequence, STD (K) j-1 ) The variance of the j-1 th difference sequence is shown.
7. The method of claim 1, wherein the ratio of the element value corresponding to the same distance in the second sequence to the sum of the element values is a scaling factor of left and right channels, and the method comprises: the scaling factors corresponding to different distances between the user and the digital media device and different volumes of the digital media device are different.
8. The big data based intelligent digital media audio adjusting method according to claim 1, wherein the volume adjusting strategy comprises: when the noise evaluation value is larger than 1, adjusting the audio volume of the digital media equipment; adjusting the audio volume of the digital media device to a volume adjustment strategy based on the gamma curve.
9. The big-data-based digital media audio intelligent adjustment method as claimed in claim 1, wherein the adjusting the audio volume of the device in combination with the volume adjustment strategy comprises: obtaining elements in a first sequence and a second sequence corresponding to the distance between a user and the digital media device when the volume is adjusted; and obtaining a volume modifier on the gamma curve by using the obtained element values, the habit coefficient, the scale coefficient and the noise evaluation value of the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210601755.1A CN115002618A (en) | 2022-05-30 | 2022-05-30 | Digital media audio intelligent adjusting method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210601755.1A CN115002618A (en) | 2022-05-30 | 2022-05-30 | Digital media audio intelligent adjusting method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115002618A true CN115002618A (en) | 2022-09-02 |
Family
ID=83030699
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210601755.1A Pending CN115002618A (en) | 2022-05-30 | 2022-05-30 | Digital media audio intelligent adjusting method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115002618A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116092458A (en) * | 2023-02-10 | 2023-05-09 | 牡丹江师范学院 | Vocal music adjusting system and method based on big data |
-
2022
- 2022-05-30 CN CN202210601755.1A patent/CN115002618A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116092458A (en) * | 2023-02-10 | 2023-05-09 | 牡丹江师范学院 | Vocal music adjusting system and method based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| RU2735652C2 (en) | Spatial audio processing | |
| US7610260B2 (en) | Methods and apparatus for selecting and providing content data using content data status information | |
| JP4860748B2 (en) | Hearing aid fitting method, hearing aid fitting system, and hearing aid | |
| US9613028B2 (en) | Remotely updating a hearing and profile | |
| CN109478400A (en) | The network-based processing and distribution of the multimedia content of live musical performance | |
| WO2015163031A1 (en) | Information processing device, information processing method, and program | |
| US20100046765A1 (en) | System for processing audio data | |
| KR101459319B1 (en) | Method and apparatus for controlling audio volume | |
| CN106488311B (en) | Sound effect adjusting method and user terminal | |
| KR20200047414A (en) | Systems and methods for modifying room characteristics for spatial audio rendering over headphones | |
| US9756437B2 (en) | System and method for transmitting environmental acoustical information in digital audio signals | |
| US8358786B2 (en) | Method and apparatus to measure hearing ability of user of mobile device | |
| CN109688498A (en) | A kind of volume adjusting method, earphone and storage medium | |
| CN104759017A (en) | Sleep aiding system and operation method thereof | |
| JP2022542962A (en) | Acoustic Echo Cancellation Control for Distributed Audio Devices | |
| CN115002618A (en) | Digital media audio intelligent adjusting method based on big data | |
| CN107547732A (en) | A kind of media play volume adjusting method, device, terminal and storage medium | |
| Ishi et al. | Hearing support system using environment sensor network | |
| Brandenburg et al. | Creating auditory illusions with binaural technology | |
| CN102752701B (en) | Device and method for testing direction perception sensitivity of three-dimensional space | |
| US11695379B2 (en) | Apparatus and method for automatic volume control with ambient noise compensation | |
| TW201506913A (en) | Microphone system and sound processing method thereof | |
| CN112306451A (en) | Volume adjustment method, device and system | |
| Weller et al. | Application of a circular 2D hard-sphere microphone array for higher-order Ambisonics auralization | |
| US20240107248A1 (en) | Headphones with Sound-Enhancement and Integrated Self-Administered Hearing Test |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |