CN116153338B - Tuning parameter loading method, device, equipment and storage medium - Google Patents
Tuning parameter loading method, device, equipment and storage medium Download PDFInfo
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/60—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for measuring the quality of voice signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04H—BROADCAST COMMUNICATION
- H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
- H04H60/02—Arrangements for generating broadcast information; Arrangements for generating broadcast-related information with a direct linking to broadcast information or to broadcast space-time; Arrangements for simultaneous generation of broadcast information and broadcast-related information
- H04H60/04—Studio equipment; Interconnection of studios
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04H—BROADCAST COMMUNICATION
- H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
- H04H60/02—Arrangements for generating broadcast information; Arrangements for generating broadcast-related information with a direct linking to broadcast information or to broadcast space-time; Arrangements for simultaneous generation of broadcast information and broadcast-related information
- H04H60/06—Arrangements for scheduling broadcast services or broadcast-related services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04H—BROADCAST COMMUNICATION
- H04H60/00—Arrangements for broadcast applications with a direct linking to broadcast information or broadcast space-time; Broadcast-related systems
- H04H60/56—Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
- H04H60/58—Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54 of audio
Abstract
The invention relates to the field of audio processing, and discloses a tuning parameter loading method, device, equipment and storage medium, which are used for realizing intelligent audio parameter adjustment and improving audio quality. The method comprises the following steps: performing audio quality detection on the original audio data to obtain an audio quality detection result and performing task parameter mapping to obtain a parameter adjustment set; performing tuning console control operation matching on the tuning console configuration information and the parameter adjustment set to obtain tuning console control operation information, and performing tuning information file conversion on the parameter adjustment set to obtain a target tuning operation file; responding to the target tuning operation file to generate target tuning audio; and performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and transmitting an audio data packet of the target tuning audio to an audio management platform when the tuning effect analysis result is verified.
Description
Technical Field
The present invention relates to the field of audio processing, and in particular, to a method, an apparatus, a device, and a storage medium for loading tuning parameters.
Background
At present, a digital sound console belongs to an auxiliary tool for audio synthesis, is electronic equipment for audio processing, and can improve the human voice proportion in synthesized audio through the digital sound console at present and improve the tone quality and the listening feeling of listeners.
The existing scheme is that the audio is synthesized in a tuning mode on a control terminal through some tuning software, manual adjustment is needed according to the display frequency, and the manual adjustment lacks standard audio analysis, so that the audio quality is low.
Disclosure of Invention
The invention provides a tuning parameter loading method, device, equipment and storage medium, which are used for realizing intelligent audio parameter adjustment and improving audio quality.
The first aspect of the invention provides a tuning parameter loading method, which comprises the following steps:
receiving a tuning request sent by an audio management platform, determining a tuning task to be processed according to the tuning request, calling a digital tuning console according to the tuning task to be processed, and extracting configuration information of the digital tuning console to obtain configuration information of the tuning console;
inquiring corresponding original audio data according to the tuning task to be processed, detecting audio quality of the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
performing tuning table control operation matching on the tuning table configuration information and the parameter adjustment set to obtain tuning table control operation information, and performing tuning information file conversion on the parameter adjustment set according to the tuning table control operation information to obtain a corresponding target tuning operation file;
generating operation instructions for a plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set;
responding to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, and adjusting audio parameters of the original audio data to generate target tuning audio;
and performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and transmitting an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is verified.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the receiving a tuning request sent by an audio management platform, determining a tuning task to be processed according to the tuning request, and calling a digital tuning console according to the tuning task to be processed, extracting configuration information of the digital tuning console, to obtain configuration information of the tuning console, includes:
receiving a tuning request sent by an audio management platform, and determining a tuning task to be processed according to the tuning request;
analyzing the tuning task to be processed, and determining a corresponding character string to be matched;
matching the digital sound console from a plurality of candidate sound consoles according to the character string to be matched;
extracting configuration information and matching keywords from the digital sound console to obtain a corresponding matching result;
and carrying out scanning analysis on the matching result to generate sound console configuration information.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the querying, according to the tuning task to be processed, the corresponding original audio data, performing audio quality detection on the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set, where the parameter adjustment set includes:
inquiring corresponding original audio data according to the tuning task to be processed;
extracting voice and background audio from the original audio data to obtain voice data and background audio data;
performing audio quality detection on the voice data and the background audio data to obtain an audio quality detection result;
and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, performing tuning console control operation matching on the tuning console configuration information and the parameter adjustment set to obtain tuning console control operation information, and performing tuning information file conversion on the parameter adjustment set according to the tuning console control operation information to obtain a corresponding target tuning operation file, where the method includes:
dividing input and output configuration of the sound console configuration information to obtain input configuration and output configuration;
according to the input configuration and the output configuration, performing sound console operation classification matching on the parameter adjustment set to obtain sound console operation data;
and performing tuning data file conversion on the parameter adjustment set according to the tuning console operation data to obtain a corresponding target tuning operation file.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the generating operation instructions for the plurality of tuning operations in the target tuning operation file, to obtain a target tuning operation instruction set, includes:
generating operation instructions for a plurality of tuning operations in the target tuning operation file, and determining a plurality of tuning operation instructions corresponding to the target tuning operation file;
and carrying out set construction on the plurality of tuning operation instructions according to a preset set mapping relation to obtain a target tuning operation instruction set.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, the generating, by the digital mixing console, the target tuning audio by performing audio parameter adjustment on the original audio data according to a preset tuning operation sequence table in response to the target tuning operation instruction set includes:
responding to the target tuning operation instruction set according to a preset tuning operation sequence list through the digital tuning console;
determining a target adjustment amount according to the target tuning operation instruction set;
and according to the target adjustment quantity, carrying out audio parameter adjustment on the original audio data to generate target tuning audio.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, and verifying the tuning effect analysis result, and when the tuning effect analysis result is that the tuning effect analysis result is verified, sending an audio data packet of the target tuning audio to the audio management platform, where the sending includes:
performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result;
performing evaluation index conversion on the tuning effect analysis result to obtain a target score of the target tuning audio;
judging whether the target score exceeds a preset threshold value;
if yes, determining that the tuning effect analysis result passes verification, and sending the audio data packet of the target tuning audio to the audio management platform.
The second aspect of the present invention provides a tuning parameter loading device, where the tuning parameter loading device includes:
the receiving module is used for receiving a tuning request sent by the audio management platform, determining a tuning task to be processed according to the tuning request, calling a digital tuning console according to the tuning task to be processed, and extracting configuration information of the digital tuning console to obtain configuration information of the tuning console;
the detection module is used for inquiring corresponding original audio data according to the tuning task to be processed, detecting the audio quality of the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
the matching module is used for matching the sound console configuration information with the parameter adjustment set to obtain sound console control operation information, and converting the parameter adjustment set into sound console information files according to the sound console control operation information to obtain corresponding target sound console operation files;
the generation module is used for generating operation instructions for a plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set;
the adjusting module is used for responding to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, adjusting audio parameters of the original audio data and generating target tuning audio;
and the verification module is used for carrying out tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and sending an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is passing verification.
A third aspect of the present invention provides a tuning parameter loading apparatus, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the tuning parameter loading device to perform the tuning parameter loading method described above.
A fourth aspect of the present invention provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the above-described tuning parameter loading method.
In the technical scheme provided by the invention, the original audio data is subjected to audio quality detection to obtain an audio quality detection result and task parameter mapping to obtain a parameter adjustment set; performing tuning console control operation matching on the tuning console configuration information and the parameter adjustment set to obtain tuning console control operation information, and performing tuning information file conversion on the parameter adjustment set to obtain a target tuning operation file; responding to the target tuning operation file to generate target tuning audio; according to the invention, audio quality analysis is carried out on original audio data through a digital sound console, then audio parameters needing to be adjusted in the original audio data are determined, intelligent interaction between the digital sound console and the audio management platform is carried out, target audio data are generated, the tuning effect of the target audio data is verified, intelligent audio parameter adjustment is further realized, and accordingly the quality of output audio is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a tuning parameter loading method according to an embodiment of the present invention;
FIG. 2 is a flow chart of audio quality detection in an embodiment of the invention;
FIG. 3 is a flowchart of console control operation matching in an embodiment of the present invention;
FIG. 4 is a flow chart of operation instruction generation in an embodiment of the invention;
FIG. 5 is a schematic view of an embodiment of a tuning parameter loading device according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an embodiment of a tuning parameter loading device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a tuning parameter loading method, device, equipment and storage medium, which are used for realizing intelligent audio parameter adjustment and improving audio quality. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
For easy understanding, a specific flow of an embodiment of the present invention is described below, referring to fig. 1, and one embodiment of a tuning parameter loading method in an embodiment of the present invention includes:
s101, receiving a tuning request sent by an audio management platform, determining a tuning task to be processed according to the tuning request, calling a digital tuning console according to the tuning task to be processed, and extracting configuration information of the digital tuning console to obtain configuration information of the tuning console;
it is to be understood that the execution body of the present invention may be a loading device of tuning parameters, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.
Specifically, the server receives a tuning request sent by the audio management platform, further, the server analyzes the tuning request sent by the audio management platform, specifically, the server analyzes a request identifier of the tuning request, determines a corresponding request identifier, further, the server performs task matching from a preset request task database according to the request identifier, determines a tuning task to be processed corresponding to the tuning request, further, the server analyzes the tuning task to be processed, determines a corresponding character string to be matched, further, the server calls a digital tuning console according to the character string to be matched, and extracts configuration information of the digital tuning console to obtain configuration information of the tuning console.
S102, inquiring corresponding original audio data according to a tuning task to be processed, detecting audio quality of the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
specifically, the server queries corresponding original audio data according to the task to be processed, further, the server performs audio quality detection on the original audio data, and it is to be noted that when performing audio quantity detection, the server performs sequence data conversion on the original audio data to obtain corresponding audio sequence data, further, the server obtains standard sequence audio data, performs audio quality detection on the audio sequence data according to the standard sequence audio data to obtain an audio quality detection result, and finally, the server performs task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set.
S103, matching the tuning table configuration information with the parameter adjustment set to obtain tuning table control operation information, and converting tuning information files of the parameter adjustment set according to the tuning table control operation information to obtain corresponding target tuning operation files;
it should be noted that, the mixing console configuration information and the parameter adjustment set are subjected to mixing console control operation matching, wherein the server performs type division on the mixing console configuration information, determines different types of mixing console configuration information, further performs operation classification matching on the parameter adjustment set according to the different types of mixing console configuration information to obtain corresponding mixing console control operation information, and finally, the server performs mixing console information file conversion on the parameter adjustment set according to the mixing console control operation information to obtain a corresponding target mixing console operation file.
S104, generating operation instructions for a plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set;
specifically, the server maps the function values of a plurality of tuning operations in the target tuning operation file to obtain a corresponding function value set, and further, the server generates an operation instruction for the function value set through a preset instruction generation function to obtain a target tuning operation instruction set.
S105, responding to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, and adjusting audio parameters of the original audio data to generate target tuning audio;
specifically, the server performs tuning operation sequence table matching on the digital tuning console, determines a corresponding tuning operation sequence table, further responds to the target tuning operation instruction set according to the tuning operation sequence table, determines a target adjustment amount at the same time, and finally performs audio parameter adjustment on the original audio data according to the target adjustment amount to generate target tuning audio.
S106, performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and sending an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is verified.
Specifically, the server analyzes the tuning effect of the target tuning audio, wherein when the tuning effect is analyzed, the server analyzes the similarity between the target tuning audio and a preset template tuning audio, determines a corresponding similarity analysis result, further, the server analyzes the tuning effect through the similarity analysis result to obtain a corresponding tuning effect analysis result, further, the server performs evaluation index conversion on the tuning effect analysis result to obtain a target score corresponding to the target tuning audio, finally, the server verifies the tuning effect analysis result according to the target score, and when the tuning effect analysis result is that the tuning effect analysis result is passed, the audio data packet of the target tuning audio is sent to the audio management platform.
In the embodiment of the invention, the audio quality detection is carried out on the original audio data to obtain an audio quality detection result and the task parameter mapping is carried out to obtain a parameter adjustment set; performing tuning console control operation matching on the tuning console configuration information and the parameter adjustment set to obtain tuning console control operation information, and performing tuning information file conversion on the parameter adjustment set to obtain a target tuning operation file; responding to the target tuning operation file to generate target tuning audio; according to the invention, audio quality analysis is carried out on original audio data through a digital sound console, then audio parameters needing to be adjusted in the original audio data are determined, intelligent interaction between the digital sound console and the audio management platform is carried out, target audio data are generated, the tuning effect of the target audio data is verified, intelligent audio parameter adjustment is further realized, and accordingly the quality of output audio is improved.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Receiving a tuning request sent by an audio management platform, and determining a tuning task to be processed according to the tuning request;
(2) Analyzing the tuning task to be processed, and determining a corresponding character string to be matched;
(3) Matching the digital sound console from a plurality of candidate sound consoles according to the character strings to be matched;
(4) Carrying out configuration information extraction and keyword matching on the digital sound console to obtain a corresponding matching result;
(5) And carrying out scanning analysis on the matching result to generate sound console configuration information.
Specifically, the server receives a tuning request sent by the audio management platform, determines a tuning task to be processed according to the tuning request, wherein the server receives the tuning request sent by the audio management platform, further, the server analyzes the tuning request sent by the audio management platform, specifically, the server analyzes a request identifier of the tuning request, determines a corresponding request identifier, further, the server performs task matching from a preset request task database according to the request identifier, determines a tuning task to be processed corresponding to the tuning request, analyzes the tuning task to be processed, determines a corresponding character string to be matched, acquires a tuning task to be processed and a task storage path, and determines a path node set according to the task storage path; determining at least one target path node based on the set of path nodes; according to each target path node, determining an analysis value based on a tuning task to be processed until traversing a path node set, taking the last analysis value obtained by determination as a target parameter, further, carrying out character string matching by a server through the target parameter, determining a corresponding character string to be matched, further, matching a digital tuning console from a plurality of candidate tuning consoles according to the character string to be matched, carrying out configuration information extraction and keyword matching on the digital tuning console, obtaining a corresponding matching result, carrying out scanning analysis on the matching result, and generating tuning console configuration information.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, inquiring corresponding original audio data according to a tuning task to be processed;
s202, extracting voice and background audio of original audio data to obtain voice data and background audio data;
s203, performing audio quality detection on the voice data and the background audio data to obtain an audio quality detection result;
s204, performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set.
Specifically, the server inquires corresponding original audio data according to a tuning task to be processed, extracts voice and background audio of the original audio data to obtain voice data and background audio data, wherein the server acquires the background audio data in the original audio data, synthesizes current background audio data and standard audio data according to audio characteristic information of the background audio data to obtain synthesized audio data, extracts voice data of the synthesized audio data to obtain voice data and background audio data, further performs audio quality detection on the voice data and the background audio data to obtain an audio quality detection result, and performs task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, dividing input and output configuration of configuration information of a voice station to obtain input configuration and output configuration;
s302, performing sound console operation classification matching on the parameter adjustment set according to the input configuration and the output configuration to obtain sound console operation data;
s303, performing tuning data file conversion on the parameter adjustment set according to the tuning console operation data to obtain a corresponding target tuning operation file.
Specifically, the server performs input and output configuration division on sound mixing console configuration information to obtain input configuration and output configuration, performs sound mixing console operation classification matching on parameter adjustment sets according to the input configuration and the output configuration to obtain sound mixing console operation data, wherein the server obtains classification characteristics corresponding to sound mixing console operation, performs normalization processing on the classification characteristics obtained by the sound mixing console operation according to a preset dynamic list to obtain normalized classification characteristics, extracts special fields containing split characters from the normalized classification characteristics, splits the special fields into a plurality of field fragments according to the positions of the split characters in the special fields, matches the split field fragments with target classifications, matches unsuccessfully matched fields with the target classifications through a preset field logic inclusion relation to obtain sound mixing console operation data, and finally performs sound mixing data file conversion on the parameter adjustment sets according to the sound mixing console operation data to obtain corresponding target sound mixing console operation files.
In a specific embodiment, the process of executing step S104 may specifically include the following steps:
(1) Generating operation instructions for a plurality of tuning operations in a target tuning operation file, and determining a plurality of tuning operation instructions corresponding to the target tuning operation file;
(2) And carrying out set construction on a plurality of tuning operation instructions according to a preset set mapping relation to obtain a target tuning operation instruction set.
Specifically, operation instructions are generated for a plurality of tuning operations in a target tuning operation file, a plurality of tuning operation instructions corresponding to the target tuning operation file are determined, wherein a server maps function values of the plurality of tuning operations in the target tuning operation file to obtain a corresponding function value set, further, the server generates operation instructions for the function value set through a preset instruction generation function to determine a plurality of tuning operation instructions corresponding to the target tuning operation file, and further, the server performs set construction for the plurality of tuning operation instructions according to a preset set mapping relation to obtain a target tuning operation instruction set.
In a specific embodiment, as shown in fig. 4, the process of performing step S105 may specifically include the following steps:
s401, responding to a target tuning operation instruction set according to a preset tuning operation sequence list through a digital tuning console;
s402, determining a target adjustment amount according to a target tuning operation instruction set;
s403, according to the target adjustment amount, performing audio parameter adjustment on the original audio data to generate target tuning audio.
Specifically, the server responds to a target tuning operation instruction set through a digital tuning console according to a preset tuning operation sequence table, and determines a target adjustment amount according to the target tuning operation instruction set, wherein the server matches the tuning operation sequence table of the digital tuning console, determines a corresponding tuning operation sequence table, further responds to the target tuning operation instruction set according to the tuning operation sequence table, and simultaneously determines a target adjustment amount, and finally, the server adjusts audio parameters of original audio data according to the target adjustment amount to generate target tuning audio.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) Performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result;
(2) Performing evaluation index conversion on the tuning effect analysis result to obtain a target score of the target tuning audio;
(3) Judging whether the target score exceeds a preset threshold value;
(4) If yes, determining that the tuning effect analysis result passes verification, and sending an audio data packet of the target tuning audio to an audio management platform.
Specifically, performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, wherein the server performs tuning effect analysis on the target tuning audio, and when performing tuning effect analysis, the server performs similarity analysis on the target tuning audio and a preset template tuning audio to determine a corresponding similarity analysis result, and further, performs tuning effect analysis on the similarity analysis result to obtain the corresponding tuning effect analysis result, and further, the server performs evaluation index conversion on the tuning effect analysis result to obtain a target score of the target tuning audio, judges whether the target score exceeds a preset threshold, determines that the tuning effect analysis result passes verification, and sends an audio data packet of the target tuning audio to the audio management platform.
The method for loading tuning parameters in the embodiment of the present invention is described above, and the device for loading tuning parameters in the embodiment of the present invention is described below, referring to fig. 5, where one embodiment of the device for loading tuning parameters in the embodiment of the present invention includes:
the receiving module 501 is configured to receive a tuning request sent by an audio management platform, determine a tuning task to be processed according to the tuning request, call a digital tuning console according to the tuning task to be processed, and extract configuration information of the digital tuning console to obtain configuration information of the tuning console;
the detection module 502 is configured to query corresponding original audio data according to the tuning task to be processed, perform audio quality detection on the original audio data to obtain an audio quality detection result, and perform task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
the matching module 503 is configured to match the console configuration information with the parameter adjustment set to obtain console control operation information, and convert the parameter adjustment set into a tuning information file according to the console control operation information to obtain a corresponding target tuning operation file;
the generating module 504 is configured to generate operation instructions for a plurality of tuning operations in the target tuning operation file, so as to obtain a target tuning operation instruction set;
the adjusting module 505 is configured to respond to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, and adjust audio parameters of the original audio data to generate target tuning audio;
and the verification module 506 is configured to perform tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verify the tuning effect analysis result, and send an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is that the tuning effect analysis result is verified.
Through the cooperation of the components, the audio quality detection is carried out on the original audio data to obtain an audio quality detection result and the task parameter mapping is carried out to obtain a parameter adjustment set; performing tuning console control operation matching on the tuning console configuration information and the parameter adjustment set to obtain tuning console control operation information, and performing tuning information file conversion on the parameter adjustment set to obtain a target tuning operation file; responding to the target tuning operation file to generate target tuning audio; according to the invention, audio quality analysis is carried out on original audio data through a digital sound console, then audio parameters needing to be adjusted in the original audio data are determined, intelligent interaction between the digital sound console and the audio management platform is carried out, target audio data are generated, the tuning effect of the target audio data is verified, intelligent audio parameter adjustment is further realized, and accordingly the quality of output audio is improved.
The loading device of tuning parameters in the embodiment of the present invention is described in detail above in fig. 5 from the point of view of a modularized functional entity, and the loading device of tuning parameters in the embodiment of the present invention is described in detail below from the point of view of hardware processing.
Fig. 6 is a schematic structural diagram of a tuning parameter loading device according to an embodiment of the present invention, where the tuning parameter loading device 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the loading device 600 for tuning parameters. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the tuning parameter loading device 600.
The tuning parameter loading device 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as Windows Serve, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the tuning parameter loading device structure shown in fig. 6 does not constitute a limitation of the tuning parameter loading device and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
The invention also provides tuning parameter loading equipment, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the tuning parameter loading method in the above embodiments.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, or a volatile computer readable storage medium, having stored therein instructions that, when executed on a computer, cause the computer to perform the steps of the tuning parameter loading method.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random acceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The method for loading the tuning parameters is characterized by comprising the following steps of:
receiving a tuning request sent by an audio management platform, determining a tuning task to be processed according to the tuning request, calling a digital tuning console according to the tuning task to be processed, and extracting configuration information of the digital tuning console to obtain configuration information of the tuning console;
inquiring corresponding original audio data according to the tuning task to be processed, detecting audio quality of the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
performing tuning table control operation matching on the tuning table configuration information and the parameter adjustment set to obtain tuning table control operation information, and performing tuning information file conversion on the parameter adjustment set according to the tuning table control operation information to obtain a corresponding target tuning operation file;
generating operation instructions for a plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set;
responding to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, and adjusting audio parameters of the original audio data to generate target tuning audio;
and performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and transmitting an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is verified.
2. The method for loading tuning parameters according to claim 1, wherein the receiving the tuning request sent by the audio management platform, determining a tuning task to be processed according to the tuning request, and calling a digital tuning console according to the tuning task to be processed, extracting configuration information of the digital tuning console, and obtaining configuration information of the tuning console comprises:
receiving a tuning request sent by an audio management platform, and determining a tuning task to be processed according to the tuning request;
analyzing the tuning task to be processed, and determining a corresponding character string to be matched;
matching the digital sound console from a plurality of candidate sound consoles according to the character string to be matched;
extracting configuration information and matching keywords from the digital sound console to obtain a corresponding matching result;
and carrying out scanning analysis on the matching result to generate sound console configuration information.
3. The method for loading tuning parameters according to claim 1, wherein the querying the corresponding original audio data according to the tuning task to be processed, performing audio quality detection on the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set includes:
inquiring corresponding original audio data according to the tuning task to be processed;
extracting voice and background audio from the original audio data to obtain voice data and background audio data;
performing audio quality detection on the voice data and the background audio data to obtain an audio quality detection result;
and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set.
4. The method for loading tuning parameters according to claim 1, wherein said matching the tuning console configuration information with the parameter adjustment set to obtain tuning console control operation information, and converting the tuning information file of the parameter adjustment set according to the tuning console control operation information to obtain a corresponding target tuning operation file, includes:
dividing input and output configuration of the sound console configuration information to obtain input configuration and output configuration;
according to the input configuration and the output configuration, performing sound console operation classification matching on the parameter adjustment set to obtain sound console operation data;
and performing tuning data file conversion on the parameter adjustment set according to the tuning console operation data to obtain a corresponding target tuning operation file.
5. The method for loading tuning parameters according to claim 1, wherein the generating operation instructions for the plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set includes:
generating operation instructions for a plurality of tuning operations in the target tuning operation file, and determining a plurality of tuning operation instructions corresponding to the target tuning operation file;
and carrying out set construction on the plurality of tuning operation instructions according to a preset set mapping relation to obtain a target tuning operation instruction set.
6. The method for loading tuning parameters according to claim 1, wherein said generating, by said digital mixing console, target tuning audio by performing audio parameter adjustment on said original audio data in response to said target tuning instruction set according to a preset tuning operation sequence table, comprises:
responding to the target tuning operation instruction set according to a preset tuning operation sequence list through the digital tuning console;
determining a target adjustment amount according to the target tuning operation instruction set;
and according to the target adjustment quantity, carrying out audio parameter adjustment on the original audio data to generate target tuning audio.
7. The method for loading tuning parameters according to claim 1, wherein the performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, and verifying the tuning effect analysis result, and when the tuning effect analysis result is that the tuning effect analysis result is verified, sending an audio data packet of the target tuning audio to the audio management platform, includes:
performing tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result;
performing evaluation index conversion on the tuning effect analysis result to obtain a target score of the target tuning audio;
judging whether the target score exceeds a preset threshold value;
if yes, determining that the tuning effect analysis result passes verification, and sending the audio data packet of the target tuning audio to the audio management platform.
8. A tuning parameter loading device, characterized in that the tuning parameter loading device comprises:
the receiving module is used for receiving a tuning request sent by the audio management platform, determining a tuning task to be processed according to the tuning request, calling a digital tuning console according to the tuning task to be processed, and extracting configuration information of the digital tuning console to obtain configuration information of the tuning console;
the detection module is used for inquiring corresponding original audio data according to the tuning task to be processed, detecting the audio quality of the original audio data to obtain an audio quality detection result, and performing task parameter mapping on the tuning task to be processed according to the audio quality detection result to obtain a parameter adjustment set;
the matching module is used for matching the sound console configuration information with the parameter adjustment set to obtain sound console control operation information, and converting the parameter adjustment set into sound console information files according to the sound console control operation information to obtain corresponding target sound console operation files;
the generation module is used for generating operation instructions for a plurality of tuning operations in the target tuning operation file to obtain a target tuning operation instruction set;
the adjusting module is used for responding to the target tuning operation instruction set according to a preset tuning operation sequence table through the digital tuning console, adjusting audio parameters of the original audio data and generating target tuning audio;
and the verification module is used for carrying out tuning effect analysis on the target tuning audio to obtain a corresponding tuning effect analysis result, verifying the tuning effect analysis result, and sending an audio data packet of the target tuning audio to the audio management platform when the tuning effect analysis result is passing verification.
9. A tuning parameter loading device, characterized in that the tuning parameter loading device comprises: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the tuning parameter loading device to perform a tuning parameter loading method as claimed in any one of claims 1 to 7.
10. A computer readable storage medium having instructions stored thereon, wherein the instructions when executed by a processor implement a method of loading tuning parameters as claimed in any one of claims 1 to 7.
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