CN113823333B

CN113823333B - Method and system for controlling rising and falling of PCM audio sampling rate

Info

Publication number: CN113823333B
Application number: CN202110997057.3A
Authority: CN
Inventors: 张年乾
Original assignee: Shenzhen Lingjing Technology Co ltd
Current assignee: Shenzhen Lingjing Technology Co ltd
Priority date: 2021-08-27
Filing date: 2021-08-27
Publication date: 2022-11-15
Anticipated expiration: 2041-08-27
Also published as: CN113823333A

Abstract

The invention provides a method and a system for controlling the rise and fall of a PCM audio sampling rate, wherein the method comprises the following steps: step 1: acquiring an original sampling rate of original PCM audio frame data; and 2, step: acquiring a target sampling rate input by a user; and 3, step 3: calculating the multiple of the target sampling rate and the original sampling rate; and 4, step 4: based on the multiple, the original PCM audio frame data is sampled at a target sampling rate. The method and the system for controlling the rise and fall of the PCM audio sampling rate can directly control the rise and fall of the sampling rate, and improve the user experience.

Description

Method and system for controlling rising and falling of PCM audio sampling rate

Technical Field

The invention relates to the technical field of audio sampling rate control, in particular to a method and a system for controlling the rise and fall of a PCM audio sampling rate.

Background

At present, when PCM audio data is sampled, a user needs to perform lifting control on a sampling rate (the higher the sampling rate is, the better the tone quality is) according to different requirements of the user on the tone quality, but a method for directly controlling the lifting of the sampling rate is lacked, and the user experience is poor.

Disclosure of Invention

One of the objectives of the present invention is to provide a method and a system for controlling the rise and fall of a PCM audio sampling rate, which can directly control the rise and fall of the sampling rate, thereby improving user experience.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, which comprises the following steps:

step 1: acquiring an original sampling rate of original PCM audio frame data;

step 2: acquiring a target sampling rate input by a user;

and step 3: calculating the multiple of the target sampling rate and the original sampling rate;

and 4, step 4: based on the multiple, the original PCM audio frame data is sampled at a target sampling rate.

Preferably, step 3: calculating the multiple of the target sampling rate and the original sampling rate, wherein the calculation formula is as follows:

wherein gamma is a multiple, rho is a target sampling rate, rho ₀ Is the original sampling rate.

Preferably, step 4: sampling original PCM audio frame data at a target sampling rate based on the multiple, comprising:

acquiring sampling values of original PCM audio frame data, and summarizing to obtain a sampling value set;

extracting adjacent wave peak values and wave trough values in the sampling value set;

acquiring a first number of extracted sampling values between adjacent wave peak values and wave trough values;

if the multiple is larger than 1, multiplying the first number by the multiple, and taking the product as a second number;

calculating a first difference between the second number and the first number as a third number;

uniformly adding and setting a third plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values;

if the multiple is less than 1, multiplying the first number by the multiple, and taking the product as a fourth number;

calculating a second difference between the first number and the fourth number as a fifth number;

and uniformly reducing and setting the fifth plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values.

Preferably, the method for controlling the increase or decrease of the PCM audio sampling rate further comprises:

and 5: acquiring a storage pressure value of a data storage library corresponding to a user, if the storage pressure value is greater than or equal to a preset threshold value, determining whether a target sampling rate can be adjusted, if so, correspondingly adjusting the target sampling rate, and after adjustment, continuing sampling;

wherein determining whether the target sampling rate is adjustable comprises:

calculating a third difference between the stored pressure value thresholds;

constructing a user-difference-sampling rate comparison library, and determining an appropriate sampling rate corresponding to the user and the third difference together based on the user-difference-sampling rate comparison library;

if the target sampling rate is greater than or equal to the proper sampling rate, the target sampling rate needs to be adjusted, otherwise, the target sampling rate does not need to be adjusted;

correspondingly adjusting the target sampling rate, including:

the target sampling rate is adjusted to the appropriate sampling rate.

Preferably, the constructing of the user-difference-sampling-rate comparison library comprises:

acquiring a preset sampling rate acceptable degree questionnaire, and distributing the sampling rate acceptable degree questionnaire to a user;

obtaining a survey result input by a user based on a sampling rate acceptable degree questionnaire, wherein the survey result comprises: a plurality of acceptable first sampling rates;

sequencing the first sampling rates from large to small to obtain a sampling rate sequence;

sequentially extracting a first sampling rate from beginning to end in the sampling rate sequence and using the first sampling rate as a second sampling rate;

acquiring a plurality of first operation records generated in a preset time period before and/or after a second sampling rate is input by a user;

performing feature extraction on the first operation record to obtain a plurality of first features;

establishing an uncertain feature library, matching the first features with second features in the uncertain feature library, and if the first features are matched with the second features in the uncertain feature library, acquiring matching items matched with the first features, wherein the matching items comprise: matching the first and second characteristics and matching the conformity;

if the number of the matching items is larger than or equal to a preset number threshold and/or the matching conformity degree in at least one matching item is larger than or equal to a preset matching conformity degree threshold, removing a corresponding second sampling rate from the sampling rate sequence, and simultaneously removing a first sampling rate which is smaller than the second sampling rate from the sampling rate sequence;

after the elimination is finished, continuously extracting;

when the second sampling rate or the first sampling rate which needs to be removed in the sampling rate sequence is removed, the rest first sampling rate is used as a third sampling rate;

counting the number of the third sampling rate;

acquiring a preset difference sequence, and selecting a plurality of front fourth differences from the difference sequence;

sequencing the fourth difference values from large to small to obtain a first sequence;

sequencing the third sampling rate from small to large to obtain a second sequence;

selecting any one fourth difference value, and determining the first position of the selected fourth difference value in the first sequence;

corresponding a third sampling rate at a second position corresponding to the first position in the second sequence to the selected fourth difference;

combining the fourth difference value, the corresponding third sampling rate and the user to obtain a comparison group;

acquiring a preset first blank database, and storing a comparison group into the first blank database;

when all the comparison groups needing to be stored in the first blank database are stored, taking the first blank database as a user-difference-sampling rate comparison library;

the method for constructing the uncertain feature library comprises the following steps:

acquiring recording data, the recording data including: a plurality of second operation records generated when different experiment users input investigation results based on the sampling rate acceptable degree questionnaire;

performing feature extraction on the second operation record to obtain a plurality of third features;

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of a second operation record;

sequencing the second operation records according to the time sequence based on the corresponding generation time to obtain an operation record sequence;

randomly selecting a second operation record from the operation record sequence and using the second operation record as a first target item;

performing feature extraction on the first target item to obtain a plurality of fourth features;

attempting to extract at least one third operation record from the operation record sequence based on a preset first extraction rule;

if the extraction is successful, performing feature extraction on the third operation record to obtain a plurality of fifth features, and taking the third operation record as a second target item;

randomly combining the fourth feature and the fifth feature to obtain a plurality of first combined features;

analyzing a first existence rate of the first combined feature in the feature set based on a preset existence rate analysis model;

if any first existence rate is larger than or equal to a preset first existence rate threshold value, acquiring a preset second blank database, endowing a fourth feature and a fifth feature with preset first weights, storing the preset first weights into the second blank database after the endowment, endowing a first combined feature with preset second weights, and storing the preset second weights into the second blank database after the endowment;

attempting to extract at least one fourth operation record from the operation record sequence based on a preset second extraction rule;

if the extraction is successful, performing feature extraction on the fourth operation record to obtain a plurality of sixth features, and taking the fourth operation record as a third target item;

randomly combining the fourth feature and the sixth feature to obtain a plurality of second combined features;

analyzing a second presence rate of the second combined feature in the feature set based on the presence rate analysis model;

if the second existence rate is larger than or equal to a preset second existence rate threshold value, giving a preset third weight to the fourth feature, storing the preset third weight in a second blank database after the preset third weight is given, simultaneously giving a preset fourth weight to the second combined feature, and storing the preset fourth weight in the second blank database after the preset fourth weight is given;

after all the data are stored, the second blank database is used as an uncertain feature library to complete construction;

wherein the first extraction rule comprises: if the first operation type of the first target item is the same as the second operation type of a second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a third operation record, and meanwhile, continuously extracting one by one forwards until the third operation type of the extracted second operation record is different from the first operation type;

if the first operation type of the first target item is the same as the fourth operation type of a second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a third operation record, and simultaneously, continuously extracting backwards one by one until the fifth operation type of the extracted second operation record is different from the first operation type;

the second extraction rule includes: if the sixth operation type of the first target item is different from the seventh operation type of a second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a fourth operation record, and meanwhile, continuously extracting the second operation record one by one forwards until the eighth operation type of the extracted second operation record is the same as the sixth operation type;

if the sixth operation type of the first target item is different from the ninth operation type of a second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a fourth operation record, and simultaneously, continuously extracting backwards one by one until the tenth operation type of the extracted second operation record is the same as the sixth operation type;

the first weight is smaller than the second weight and smaller than the third weight and smaller than the fourth weight.

The embodiment of the invention provides a system for controlling the rise and fall of a PCM audio sampling rate, which comprises:

the first acquisition module is used for acquiring the original sampling rate of the original PCM audio frame data;

the second acquisition module is used for acquiring a target sampling rate input by a user;

the calculating module is used for calculating the multiple of the target sampling rate and the original sampling rate;

and the sampling module is used for sampling the original PCM audio frame data according to the target sampling rate based on the multiple.

Preferably, the calculation module performs the following operations:

calculating the multiple of the target sampling rate and the original sampling rate, wherein the calculation formula is as follows:

wherein gamma is a multiple, and rho is a target sampleRate, ρ ₀ Is the original sampling rate.

Preferably, the sampling module performs the following operations:

Preferably, the PCM audio sampling rate rise and fall control system further comprises:

the adjustment module is used for acquiring a storage pressure value of a data storage library corresponding to a user, determining whether a target sampling rate can be adjusted if the storage pressure value is greater than or equal to a preset threshold value, correspondingly adjusting the target sampling rate if the target sampling rate is adjustable, and continuously sampling after the target sampling rate is adjusted;

the adjustment module performs the following operations:

calculating a third difference between the stored pressure value thresholds;

if the adjustment is needed, the target sampling rate is adjusted to be the proper sampling rate.

Preferably, the adjusting module performs the following operations:

acquiring a preset sample rate acceptable degree questionnaire, and distributing the sample rate acceptable degree questionnaire to a user;

obtaining a survey result input by a user based on a sampling rate acceptability degree questionnaire, wherein the survey result comprises: a plurality of acceptable first sampling rates;

sequentially extracting a first sampling rate from the beginning to the end of the sampling rate sequence, and taking the first sampling rate as a second sampling rate;

establishing an uncertain feature library, matching the first feature with a second feature in the uncertain feature library, and if the first feature is matched with the second feature in the uncertain feature library, acquiring a matching item matched with the first feature, wherein the matching item comprises: matching the first characteristic and the second characteristic which are matched with each other and matching the coincidence degree;

if the number of the matching items is larger than or equal to a preset number threshold value and/or the matching conformity degree in at least one matching item is larger than or equal to a preset matching conformity degree threshold value, the corresponding second sampling rate is removed from the sampling rate sequence, and meanwhile, the first sampling rate which is smaller than the second sampling rate is removed from the sampling rate sequence;

after the elimination is finished, continuously extracting;

counting the number of the third sampling rate;

when all the comparison groups needing to be stored in the first blank database are stored, taking the first blank database as a user-difference-sampling rate comparison base;

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of a second operation record;

analyzing a second presence of the second combined feature in the feature set based on the presence analysis model;

if the second existence rate is larger than or equal to a preset second existence rate threshold value, giving a preset third weight to the fourth feature, storing the preset third weight into a second blank database after the preset third weight is given, giving a preset fourth weight to the second combined feature, and storing the preset fourth weight into the second blank database after the preset fourth weight is given;

after all the data are stored, the second blank database is used as an uncertain feature database to complete construction;

if the first operation type of the first target item is the same as the fourth operation type of a second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a third operation record, and meanwhile, continuing to extract backwards one by one until a fifth operation type of the extracted second operation record is different from the first operation type;

if the sixth operation type of the first target item is different from the ninth operation type of a second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a fourth operation record, and simultaneously continuing to extract backwards one by one until the tenth operation type of the extracted second operation record is the same as the sixth operation type;

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a flowchart illustrating a method for controlling the increase and decrease of the sampling rate of PCM audio according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating another method for controlling the increase and decrease of the PCM audio sampling rate according to an embodiment of the present invention;

FIG. 3 is a diagram of a PCM audio sampling rate up-down control system according to an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

An embodiment of the present invention provides a method for controlling a rise and fall of a PCM audio sampling rate, as shown in fig. 1, including:

step 1: acquiring an original sampling rate of original PCM audio frame data;

step 2: acquiring a target sampling rate input by a user;

and 4, step 4: based on the multiple, sampling the original PCM audio frame data at a target sampling rate.

The working principle and the beneficial effects of the technical scheme are as follows:

acquiring original PCM audio frame data and an original sampling rate of which the sampling rate needs to be changed; acquiring user input, namely a target sampling rate which a user wants to change an original sampling rate; calculating the multiple of the target sampling rate and the original sampling rate; based on the multiple, sampling the original PCM audio frame data according to a target sampling rate;

the embodiment of the invention can directly control the sampling rate to rise and fall, thereby improving the user experience.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, which comprises the following steps of: calculating the multiple of the target sampling rate and the original sampling rate, wherein the calculation formula is as follows:

calculating the multiple of the target sampling rate and the original sampling rate, and dividing the target sampling rate by the original sampling rate;

for example: the original sampling rate is 8khz, the target sampling rate is 32khz, and the multiple is 4.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, as shown in figure 2, and the method comprises the following steps: sampling original PCM audio frame data at a target sampling rate based on the multiple, comprising:

step 401: acquiring sampling values of original PCM audio frame data, and summarizing to obtain a sampling value set;

step 402: extracting adjacent wave peak values and wave trough values in the sampling value set;

step 403: acquiring a first number of extracted sampling values between adjacent wave peak values and wave trough values;

step 404: if the multiple is larger than 1, multiplying the first number by the multiple, and taking the product as a second number;

step 405: calculating a first difference between the second number and the first number as a third number;

step 406: uniformly adding and setting a third plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values;

step 407: if the multiple is less than 1, multiplying the first number by the multiple, and taking the product as a fourth number;

step 408: calculating a second difference between the first number and the fourth number as a fifth number;

step 409: and uniformly reducing and setting the fifth plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values.

if the multiple is larger than 1, the sampling rate needs to be increased, and a certain number of sampling points need to be uniformly added between adjacent wave crests and wave troughs; if the multiple is less than 1, it means that to reduce the sampling rate, a certain number of sampling points need to be uniformly reduced between adjacent peaks and troughs.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, which further comprises the following steps:

and 5: acquiring a storage pressure value of a data storage library corresponding to a user, if the storage pressure value is greater than or equal to a preset threshold value, determining whether a target sampling rate can be adjusted, if so, correspondingly adjusting the target sampling rate, and continuing sampling after adjustment;

wherein determining whether the target sampling rate is adjustable comprises:

calculating a third difference between the stored pressure value thresholds;

correspondingly adjusting the target sampling rate, including:

the target sampling rate is adjusted to the appropriate sampling rate.

to save terminals [ for example: local storage space and use convenience of mobile phones, computers and the like, a plurality of music workers and the like prefer to store audio files in a cloud, when a large number of audio file storage tasks are executed, the audio files are sampled at the same sampling rate, if the sampling rate is high, the sampled audio files are large, pressure is generated on a database of the cloud, impact is caused, and if the sampling rate is low, the use requirements of high-requirement users cannot be met; therefore, a solution is needed;

this application is with whether the target sampling rate that the user input at first confirmed needs the adjustment, if, replace the target sampling rate into suitable current storage database storage pressure and the suitable sampling rate that the user can accept, when having solved a large amount of audio file storage tasks and going on, all adopt the same sampling rate to sample to the audio file, the sampling rate is higher, can produce pressure to the database in high in the clouds, cause the impact, the sampling rate is lower, can not satisfy some high demands user's user demand's problem.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, which is used for constructing a user-difference-sampling rate comparison library and comprises the following steps:

establishing an uncertain feature library, matching the first features with second features in the uncertain feature library, and if the first features are matched with the second features in the uncertain feature library, acquiring matching items matched with the first features, wherein the matching items comprise: matching the first characteristic and the second characteristic which are matched with each other and matching the coincidence degree;

after the elimination is finished, continuously extracting;

counting the number of the third sampling rates;

acquiring recording data, the recording data including: a plurality of second operation records generated when different experiment users input survey results based on the questionnaire of the acceptable degree of the sampling rate;

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of a second operation record;

wherein the first extraction rule comprises: if the first operation type of the first target item is the same as the second operation type of a second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a third operation record, and meanwhile, continuously extracting the second operation record one by one forwards until the third operation type of the extracted second operation record is different from the first operation type;

the second extraction rule includes: if the sixth operation type of the first target item is different from the seventh operation type of a second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and taking the second operation record as a fourth operation record, and meanwhile, continuously extracting the second operation record one by one forwards until the eighth operation type of the extracted second operation record is the same as the sixth operation type;

distributing a preset sound quality acceptable level questionnaire [ for example: each sampling rate corresponds to a plurality of sound source listening bars under the sampling rate, and each sampling rate also corresponds to acceptable and unacceptable options to a user; when the user answers the questionnaire of the acceptable degree of the sound quality, the user answers from a high sampling rate to a low sampling rate, under the general condition, the first sampling rate is good in sound quality, so that the normal user can be accepted without difficulty, and when the last sampling rate is determined to be acceptable, the uncertain condition can exist certainly; therefore, the investigation result is obtained, and a second sampling rate is sequentially extracted from the investigation result from large to small based on the magnitude of the sampling rate; obtain the second sampling rate input by the user [ e.g.: check acceptable options for this third sampling rate ] before and/or after a preset time period [ e.g.: performing feature extraction on a plurality of first operation records generated in 30 seconds to obtain first features; matching the first feature to the uncertain feature library [ for example: a database, in which a large number of second characteristics in operation record characteristics generated when the user is uncertain are stored for matching; when the number of matching items is greater than or equal to a preset number threshold [ for example: and/or the matching degree is greater than or equal to a preset matching degree threshold value [ for example: 96, confirming that the user has an uncertain condition when answering the second sampling rate, and reasonably rejecting a third sampling rate and all second sampling rates smaller than the third sampling rate (the user is uncertain under the tone quality, and the poor tone quality cannot be adopted) if the user is uncertain;

distributing the tone quality acceptable degree questionnaire to different users, and triggering a preset button at the first time to trigger and record a plurality of next second operation records if each user finds that the user is uncertain when answering the tone quality acceptable degree questionnaire; the operation types of the second operation record include audition [ playing, pausing, volume adjusting and the like ], selection options [ selection of an acceptable option, selection of an unacceptable option ] and the like; sequencing the second operation records based on the time generated by the record to obtain an operation record sequence; selecting one operation record from the operation records as a first target item; if the types of a certain number of operation records before or after the first target item are the same as the operation types of the first target item, feature extraction is respectively carried out to obtain a fourth feature and a fifth feature, the fourth feature and the fifth feature are randomly combined to obtain a plurality of first combined features, a model generated after a large number of artificial existence rate analysis records are analyzed by using a machine learning algorithm based on a preset existence rate analysis model (preset), wherein the larger the existence rate is, the more successful the matching between a certain feature and a plurality of features in a feature set is shown), and if the first existence rate is larger than a preset first existence rate threshold value (for example): 80, the operation record characteristic which is generated when the corresponding first combined characteristic is really uncertain when the user answers the questionnaire is described, and the fourth characteristic, the fifth characteristic and the first combined characteristic are given with weight values and then are stored in an uncertain characteristic library; for example: the first target item is a sound source with a current sampling rate which is audited for multiple times, the second target item is a sound source with other sampling rates which are audited for multiple times [ for comparing the difference between the sound quality and other sound qualities ], the operation types of the first target item and the second target item are the same, the first target item and the second target item are respectively combined after characteristics are extracted, the existence rate is always greater than the existence rate threshold value, and the existence rate is always greater than the existence rate threshold value because the users can audition and comparison for multiple times when the users are uncertain; if the types of a certain number of operation records before or after the first target item are different from the operation types of the first target item, respectively performing feature extraction to obtain a fourth feature and a sixth feature, and performing random combination to obtain a plurality of second combined features; analyzing the existence rate of the fourth feature, and if the existence rate is greater than a preset second existence rate threshold value [ for example: 85, giving weights and storing the weights into an uncertain characteristic database; for example: the first target item is used for frequently switching and auditing a plurality of sound sources under the current sampling rate, the third target item is used for selecting an acceptable option and/or an unacceptable option, the operation types of the first target item and the third target item are different, the existence rate of the first target item is certainly larger than a certain value, because the user can frequently switch and audition when the user is uncertain, the fourth characteristic is extracted and given weight to be stored in an uncertain characteristic library, the first target item and the third target item are combined after characteristic extraction [ the user continuously switches and audits a plurality of sound sources under the current sampling rate, and then selects an unacceptable or receiving option ], and the weight is given to be stored in the uncertain characteristic library; the setting of the first weight, the second weight, the third weight and the second weight is based on the representative determination of the characteristics, the higher the representativeness is, the larger the weight is, and the matching is preferentially carried out when the matching is carried out, so that the matching efficiency is improved;

the embodiment of the invention issues the questionnaire, actively captures the uncertain features to remove the corresponding sampling rate, can effectively avoid the occurrence of inaccurate survey caused by the conditions of hiding and the like of the user, and is very intelligent; the uncertain feature library is constructed, the operation capacity of the system is improved to a great extent, and when the uncertain features to be expanded are gathered, feature combination is carried out on the conditions, the fineness is high, and the accuracy of judging the uncertain sampling rate of the user by the uncertain features is improved.

The embodiment of the invention provides a method for controlling the rise and fall of a PCM audio sampling rate, which is used for acquiring recorded data and comprises the following steps:

acquiring a preset acquisition node set, wherein the acquisition node set comprises: a plurality of first acquisition nodes;

acquiring a guarantee value, a reliability and a malicious value of the first acquisition node;

where σ is the ranking index, α _i For the ith said wager value, m is the total number of said wager values, β _i Is the ith said confidence level, n is the total number of said confidence levels, γ _i For the ith said malicious value, t is the total number of said malicious values, μ ₁ And mu ₂ Is an intermediate variable, epsilon ₁ And epsilon ₂ Is a preset constant;

sorting the first acquisition nodes from large to small based on the corresponding sorting indexes to obtain a node sequence;

selecting the first n first acquisition nodes from the node sequence and using the first n first acquisition nodes as second acquisition nodes;

acquiring target data through the second acquisition node;

and integrating the acquired target data to acquire recorded data, and finishing acquisition.

the first acquisition node has multiple experimental users [ e.g.: a certain experiment investigation website issues an experiment task to an experiment user in website docking; the first acquisition node must be vouched for by a different vouching authority, the strength of its vouching by the vouching authority [ e.g.: signing a contract, and acquiring that the larger the node violates the contract rule and receives the penalty, the larger the guarantee value is; the credibility of the first acquisition node is determined based on the data truth of the corresponding experimental user, and the like, wherein the higher the user truth is, the higher the credibility is; the malicious values are a plurality of malicious records generated by a user corresponding to the first acquisition node, and the higher the severity of the malicious records is, the larger the malicious values are;

comprehensively calculating a ranking index based on the insurance value, the credibility and the malicious value, and ranking the first acquisition nodes to obtain a node sequence; the method comprises the steps that first n (a constant) in a node sequence is selected, and a user can set the first acquisition nodes to acquire target data (partial experiment records), and the target data are integrated to acquire the experiment records, so that the accuracy and the safety of data acquisition are improved;

in the formula, the reliability is higher, the guarantee value is higher, the malicious value is smaller, the sorting index is larger, the setting is reasonable, the excellent of the first acquisition node is judged quickly, the sorting is facilitated, and the working efficiency of the system is improved.

An embodiment of the present invention provides a system for controlling a rise and fall of a PCM audio sampling rate, as shown in fig. 3, including:

a first obtaining module 1, configured to obtain an original sampling rate of original PCM audio frame data;

the second acquisition module 2 is used for acquiring a target sampling rate input by a user;

the calculating module 3 is used for calculating the multiple of the target sampling rate and the original sampling rate;

and the sampling module 4 is used for sampling the original PCM audio frame data according to the target sampling rate based on the multiple.

The embodiment of the invention provides a system for controlling the rise and fall of a PCM audio sampling rate, wherein a calculation module 3 executes the following operations:

and calculating the multiple of the target sampling rate and the original sampling rate according to the following calculation formula:

wherein gamma is a multiple, rho is a target sampling rate, and rho ₀ Is the original sampling rate.

The embodiment of the invention provides a system for controlling the rise and fall of a PCM audio sampling rate, wherein a sampling module 4 executes the following operations:

if the multiple is greater than 1, it means that a certain number of sampling points need to be uniformly added between adjacent peaks and troughs to increase the sampling rate; if the multiple is less than 1, it means that to reduce the sampling rate, a certain number of sampling points need to be uniformly reduced between adjacent peaks and troughs.

The embodiment of the invention provides a system for controlling the rise and fall of a PCM audio sampling rate, which further comprises:

the adjusting module is used for acquiring a storage pressure value of a data storage library corresponding to a user, determining whether the target sampling rate can be adjusted if the storage pressure value is greater than or equal to a preset threshold value, correspondingly adjusting the target sampling rate if the target sampling rate can be adjusted, and continuously sampling after the target sampling rate is adjusted;

the adjustment module performs the following operations:

calculating a third difference between the stored pressure value thresholds;

if the target sampling rate is greater than or equal to the appropriate sampling rate, the target sampling rate needs to be adjusted, otherwise, the target sampling rate does not need to be adjusted;

according to the method, whether the target sampling rate input by a user needs to be adjusted or not is determined by the user firstly, if yes, the target sampling rate is replaced by the suitable sampling rate which is suitable for the storage pressure of the current storage database and can be accepted by the user, when a large number of audio file storage tasks are carried out, the audio files are sampled at the same sampling rate, the sampling rate is high, pressure can be generated on the database at the cloud end, impact is caused, the sampling rate is low, and the problem that the use requirements of some high-requirement users cannot be met is solved.

The embodiment of the invention provides a system for controlling the rise and fall of a PCM audio sampling rate, wherein an adjusting module executes the following operations:

sequencing the first sampling rate from large to small to obtain a sampling rate sequence;

establishing an uncertain feature library, matching the first feature with a second feature in the uncertain feature library, and if the first feature is matched with the second feature in the uncertain feature library, acquiring a matching item matched with the first feature, wherein the matching item comprises: matching the first and second characteristics and matching the conformity;

after the elimination is finished, continuously extracting;

when the second sampling rate or the first sampling rate which needs to be eliminated in the sampling rate sequence is eliminated, the rest first sampling rate is used as a third sampling rate;

counting the number of the third sampling rate;

acquiring a preset difference sequence, and selecting a plurality of fourth differences from the difference sequence;

the adjustment module performs the following operations:

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of a second operation record;

if any first existence rate is larger than or equal to a preset first existence rate threshold value, acquiring a preset second blank database, endowing a fourth characteristic and a fifth characteristic with preset first weights, storing the preset first weights into the second blank database after the endowment, endowing a first combined characteristic with preset second weights, and storing the preset second weights into the second blank database after the endowment;

distributing a preset sound quality acceptable level questionnaire [ for example: each sampling rate corresponds to a plurality of sound source listening bars under the sampling rate, and each sampling rate also corresponds to an acceptable option and an unacceptable option to a user; when the user answers the questionnaire of the acceptable degree of the sound quality, the user answers from a high sampling rate to a low sampling rate, under the general condition, the first sampling rate is good in sound quality, so that the normal user can be accepted without difficulty, and when the last sampling rate is determined to be acceptable, the uncertain condition can exist certainly; therefore, the investigation result is obtained, and a second sampling rate is sequentially extracted from the investigation result from large to small based on the magnitude of the sampling rate; obtain the second sampling rate input by the user [ e.g.: check acceptable options for this third sampling rate ] before and/or after a preset time period [ e.g.: performing feature extraction on the first operation records to obtain first features, wherein the first operation records are generated within 30 seconds; compare the first feature to a library of uncertain features [ for example: a database, in which a large number of second characteristics in operation record characteristics generated when the user is uncertain are stored for matching; when the number of matching items is greater than or equal to a preset number threshold [ for example: and/or the matching degree is greater than or equal to a preset matching degree threshold value [ for example: 96, confirming that the user has an uncertain condition when answering the second sampling rate, and reasonably rejecting a third sampling rate and all second sampling rates smaller than the third sampling rate (the user is uncertain under the tone quality, and the poor tone quality cannot be adopted) if the user is uncertain;

distributing the tone quality acceptable degree questionnaire to different users, and triggering a preset button at the first time to trigger and record a plurality of next second operation records if each user finds that the user is uncertain when answering the tone quality acceptable degree questionnaire; the operation types of the second operation record include listening in test [ play, pause, volume adjustment, etc. ], selecting options [ select acceptable option, select unacceptable option ], and the like; sequencing all the second operation records based on the time generated by the records to obtain an operation record sequence; selecting one operation record from the operation records as a first target item; if the types of a certain number of operation records before or after the first target item are the same as the operation types of the first target item, feature extraction is respectively performed to obtain a fourth feature and a fifth feature, the fourth feature and the fifth feature are randomly combined to obtain a plurality of first combined features, a model generated after a large number of artificial existence rate analysis records are analyzed by using a machine learning algorithm is analyzed based on a preset existence rate analysis model [ preset, and the larger the existence rate is, the more successful matching of a certain feature with a plurality of features ] in a feature set is analyzed, and if the first existence rate is larger than a preset first existence rate threshold [ for example ]: 80, explaining that the corresponding first combined features are operation record features generated when the user answers the questionnaire uncertainly, and storing a fourth feature, a fifth feature and the first combined features into an uncertainty feature library after giving weight values to the fourth feature, the fifth feature and the first combined features; for example: the first target item is a sound source with a current sampling rate which is audited for multiple times, the second target item is a sound source with other sampling rates which are audited for multiple times [ for comparing the difference between the sound quality and other sound qualities ], the operation types of the first target item and the second target item are the same, the first target item and the second target item are respectively combined after characteristics are extracted, the existence rate is always greater than the existence rate threshold value, and the existence rate is always greater than the existence rate threshold value because the users can audition and comparison for multiple times when the users are uncertain; if the types of a certain number of operation records before or after the first target item are different from the operation types of the first target item, respectively extracting features to obtain a fourth feature and a sixth feature, and randomly combining to obtain a plurality of second combined features; analyzing the existence rate of the fourth feature, and if the existence rate is greater than a preset second existence rate threshold value [ for example: 85, giving weights and storing the weights into an uncertain characteristic database; for example: the first target item is used for frequently switching and auditioning a plurality of sound sources under the current sampling rate, the third target item is used for selecting an acceptable option and/or selecting an unacceptable option, the operation types of the first target item and the third target item are different, the existence rate of the first target item is certainly larger than a certain value, because the auditioning is necessarily frequently switched when a user is uncertain, the fourth feature is extracted and a weight is given to be stored in an uncertain feature library, the first target item and the third target item are combined after extracting features [ the user continuously switches and auditioning a plurality of sound sources under the current sampling rate, and then selects an unacceptable or receiving option ] and gives a weight to be stored in the uncertain feature library; the setting of the first weight, the second weight, the third weight and the second weight is based on the representative determination of the characteristics, the higher the representativeness is, the larger the weight is, and the matching is preferentially carried out when the matching is carried out, so that the matching efficiency is improved;

acquiring a security value, a reliability and a malicious value of the first acquisition node;

calculating a ranking index based on the insurance value, the credibility and the malicious value, wherein the calculation formula is as follows:

where σ is the ranking index, α _i For the ith said wager value, m is the total number of said wager values, β _i For the ith said confidence level, n is said confidence levelTotal number of degrees, γ _i For the ith said malicious value, t is the total number of said malicious values, μ ₁ And mu ₂ Is an intermediate variable, epsilon ₁ And ε ₂ Is a preset constant;

acquiring target data through the second acquisition node;

comprehensively calculating a ranking index based on the guarantee value, the credibility and the malicious value, and ranking the first acquired nodes to acquire a node sequence; the method comprises the steps that first n (a constant) in a node sequence is selected, and a user can set the first acquisition nodes to acquire target data (part of experiment records), and the target data is integrated to acquire the experiment records, so that the accuracy and the safety of data acquisition are improved;

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims

1. A method for controlling the rise and fall of a PCM audio sampling rate, comprising:

step 1: acquiring an original sampling rate of original PCM audio frame data;

step 2: acquiring a target sampling rate input by a user;

and 3, step 3: calculating a multiple of the target sampling rate and the original sampling rate;

and 4, step 4: based on the multiple, sampling the original PCM audio frame data at the target sampling rate;

and 5: acquiring a storage pressure value of a data storage library corresponding to the user, if the storage pressure value is greater than or equal to a preset threshold value, determining whether the target sampling rate can be adjusted, if so, correspondingly adjusting the target sampling rate, and after adjustment, continuing sampling;

wherein determining whether the target sampling rate is adjustable comprises:

calculating a third difference between the stored pressure values and the threshold values;

if the target sampling rate is greater than or equal to the suitable sampling rate, the target sampling rate needs to be adjusted, otherwise, the target sampling rate does not need to be adjusted;

correspondingly adjusting the target sampling rate, including:

adjusting the target sampling rate to the suitable sampling rate;

constructing a user-difference-sampling rate comparison library, which comprises the following steps:

acquiring a preset sample rate acceptable degree questionnaire, and distributing the sample rate acceptable degree questionnaire to the user;

obtaining the survey result input by the user based on the sampling rate acceptability degree questionnaire, wherein the survey result comprises: a plurality of acceptable first sampling rates;

sequentially extracting one first sampling rate from the beginning to the end of the sampling rate sequence, and taking the first sampling rate as a second sampling rate;

acquiring a plurality of first operation records generated in a preset time period before and/or after the second sampling rate is input by the user;

establishing an uncertain feature library, matching the first feature with a second feature in the uncertain feature library, and if the first feature and the second feature match, acquiring a matching item which matches the first feature, wherein the matching item comprises: matching the first characteristic and the second characteristic which are matched with each other and matching the coincidence degree;

if the number of the matching items is larger than or equal to a preset number threshold and/or the matching conformity degree in at least one matching item is larger than or equal to a preset matching conformity degree threshold, removing the corresponding second sampling rate from the sampling rate sequence, and simultaneously removing the first sampling rate which is smaller than the second sampling rate from the sampling rate sequence;

after the elimination is finished, continuously extracting;

when the second sampling rate or the first sampling rate which needs to be eliminated in the sampling rate sequence is eliminated, the residual first sampling rate is used as a third sampling rate;

counting the number of the third sampling rate;

acquiring a preset difference sequence, and selecting the plurality of fourth differences from the difference sequence;

selecting any one fourth difference value, and determining a first position of the selected fourth difference value in the first sequence;

corresponding the third sampling rate at a second position in the second sequence corresponding to the first position to the selected fourth difference;

acquiring a preset first blank database, and storing the comparison group into the first blank database;

acquiring recording data, the recording data comprising: a plurality of second operation records generated when different experiment users input survey results based on the questionnaire of the acceptable degree of the sampling rate;

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of the second operation record;

sequencing the second operation records according to the time sequence on the basis of the corresponding generation time to obtain an operation record sequence;

randomly selecting one second operation record from the operation record sequence and using the second operation record as a first target item;

if any one first existence rate is larger than or equal to a preset first existence rate threshold value, acquiring a preset second blank database, endowing the fourth feature and the fifth feature with preset first weights, storing the preset first weights into the second blank database, endowing the first combined feature with preset second weights, and storing the preset second weights into the second blank database;

if the second existence rate is larger than or equal to a preset second existence rate threshold value, giving a preset third weight to the fourth feature, storing the preset third weight into the second blank database after the preset third weight is given, and simultaneously giving a preset fourth weight to the second combined feature, and storing the preset fourth weight into the second blank database after the preset fourth weight is given;

wherein the first extraction rule comprises: if the first operation type of the first target item is the same as the second operation type of the second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a third operation record, and meanwhile, continuing to extract the second operation record one by one forwards until the third operation type of the extracted second operation record is different from the first operation type;

if the first operation type of the first target item is the same as the fourth operation type of the second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a third operation record, and meanwhile, continuously extracting backwards one by one until the fifth operation type of the extracted second operation record is different from the first operation type;

the second extraction rule comprises: if the sixth operation type of the first target item is different from the seventh operation type of the second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a fourth operation record, and meanwhile, continuously extracting forward one by one until the eighth operation type of the extracted second operation record is the same as the sixth operation type;

if the sixth operation type of the first target item is different from the ninth operation type of the second operation record which is subsequent to the first target item in the operation record sequence, extracting the second operation record which is subsequent to the first target item in the operation record sequence and using the second operation record as a fourth operation record, and meanwhile, continuously extracting backwards one by one until the tenth operation type of the extracted second operation record is the same as the sixth operation type;

the first weight is less than the second weight and less than the third weight and less than the fourth weight.

2. The method for controlling the rise and fall of the sampling rate of the PCM audio according to claim 1, wherein the step 3: calculating the target sampling rate and the multiple of the original sampling rate by the following calculation formula:

wherein γ is the multiple, ρ is the target sampling rate, ρ ₀ Is the original sampling rate.

3. The method for controlling increase or decrease of the sampling rate of PCM audio according to claim 1, wherein step 4: based on the multiple, sampling the original PCM audio frame data at the target sampling rate, including:

acquiring sampling values of the original PCM audio frame data, and summarizing to obtain a sampling value set;

acquiring a first number of the sampling values between the extracted adjacent crest values and extracted adjacent trough values;

uniformly and additionally arranging the third plurality of sampling points between the extracted adjacent wave peak values and wave trough values;

and uniformly decreasing the setting of the fifth plurality of sampling points between the extracted adjacent wave peak values and wave trough values.

4. A PCM audio sample rate up-down control system, comprising:

a calculation module for calculating a multiple of the target sampling rate and the original sampling rate;

the sampling module is used for sampling the original PCM audio frame data according to the target sampling rate based on the multiple;

the adjusting module is used for acquiring a storage pressure value of a data storage library corresponding to the user, determining whether the target sampling rate can be adjusted if the storage pressure value is greater than or equal to a preset threshold value, if so, correspondingly adjusting the target sampling rate, and continuing to sample after adjustment;

the adjustment module performs the following operations:

if the target sampling rate needs to be adjusted, adjusting the target sampling rate to the proper sampling rate;

the adjustment module performs the following operations:

acquiring a preset sampling rate acceptable degree questionnaire, and distributing the sampling rate acceptable degree questionnaire to the user;

obtaining survey results input by the user based on the questionnaire about the acceptable degree of the sampling rate, wherein the survey results comprise: a plurality of acceptable first sampling rates;

establishing an uncertain feature library, matching the first feature with a second feature in the uncertain feature library, and if the first feature and the second feature match, acquiring a matching item which matches the first feature, wherein the matching item comprises: matching the first and second characteristics and matching the conformity;

after the elimination is finished, continuously extracting;

counting the number of the third sampling rate;

sorting the fourth difference values from large to small to obtain a first sequence;

selecting any one of the fourth difference values, and determining a first position of the selected fourth difference value in the first sequence;

combining the fourth difference, the corresponding third sampling rate and the user to obtain a control group;

acquiring recording data, wherein the recording data comprises: a plurality of second operation records generated when different experiment users input survey results based on the questionnaire of the acceptable degree of the sampling rate;

summarizing the third characteristics to obtain a characteristic set;

acquiring the generation time of the second operation record;

sequencing the second operation records according to the time sequence on the basis of corresponding generation time to obtain an operation record sequence;

if any first existence rate is larger than or equal to a preset first existence rate threshold value, acquiring a preset second blank database, endowing the fourth feature and the fifth feature with preset first weights, storing the preset first weights into the second blank database after the endowing, endowing the first combined feature with preset second weights, and storing the preset second weights into the second blank database after the endowing;

if the second existence rate is larger than or equal to a preset second existence rate threshold value, giving a preset third weight to the fourth feature, and storing the preset third weight in the second blank database after the preset third weight is given, and simultaneously giving a preset fourth weight to the second combined feature, and storing the preset fourth weight in the second blank database after the preset fourth weight is given;

wherein the first extraction rule comprises: if the first operation type of the first target item is the same as the second operation type of the second operation record which is previous to the first target item in the operation record sequence, extracting the second operation record which is previous to the first target item in the operation record sequence and using the second operation record as a third operation record, and meanwhile, continuously extracting forward one by one until the third operation type of the extracted second operation record is different from the first operation type;

if the first operation type of the first target item is the same as the fourth operation type of the second operation record behind the first target item in the operation record sequence, extracting the second operation record behind the first target item in the operation record sequence as a third operation record, and meanwhile, continuing to extract backwards one by one until the fifth operation type of the extracted second operation record is different from the first operation type;

5. The PCM audio sample rate up-down control system of claim 4, wherein said calculation module performs the following operations:

calculating the target sampling rate and the multiple of the original sampling rate, wherein the calculation formula is as follows:

6. The system as claimed in claim 4, wherein the sampling module performs the following operations:

uniformly adding and setting the third plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values;

and uniformly decreasing and setting the fifth plurality of sampling points between the extracted adjacent wave peak values and the extracted wave trough values.