Tuning system with intelligent prompt system for radio and television

Abstract

The invention discloses a radio and television tuning system with an intelligent prompt system, and the system comprises an audio collection module which is used for obtaining original audio signals from a plurality of audio sources; the intelligent analysis module is used for performing feature extraction and classification on the audio signals based on a machine learning model, identifying audio types and evaluating audio quality; the intelligent prompt module is used for generating corresponding tuning suggestions according to the result of the intelligent analysis module and preset audio standards and program types; the user interaction interface provides a graphical interface for a tuner to check the intelligent prompt and execute corresponding operation; and the automation control module allows the basic tuning adjustment to be automatically applied after the authorization of the tuner is obtained. According to the radio and television tuning system with the intelligent prompt system, by introducing an advanced intelligent technology and a humanized design, high efficiency, precision and individuation of tuning work are realized, and the audio quality of broadcast and television programs is remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of television tuning, and in particular to a tuning system for broadcasting and television with an intelligent prompting system. Background Art

[0002] In modern radio and television programs, audio quality is crucial to the overall effect of the program and the audience experience. With the rapid development of the media industry and the advancement of technology, the requirements for audio processing in radio and television program production are getting higher and higher. Not only do they need to ensure the clarity, signal-to-noise ratio and balance of the sound, but they also need to respond quickly to the changing on-site environment and ensure the consistency and stability of the audio. The traditional tuning system mainly relies on the experience and manual operation of the tuner. Although it can meet basic needs to a certain extent, it has the following significant defects:

[0003] In the traditional tuning process, the tuner needs to monitor multiple audio sources in real time and manually adjust parameters such as volume, equalization, and reverberation. This is not only time-consuming and laborious, but also easy to affect the program quality due to untimely response or misoperation in time-sensitive environments such as live broadcasts. Due to the lack of intelligent analysis tools, it is difficult for tuners to accurately evaluate the quality parameters of audio signals, such as frequency distribution, dynamic range, and harmonic structure, resulting in the output audio may not reach the optimal state. Especially in complex and changing live environments, the audio quality fluctuates greatly and it is difficult to maintain consistency.

[0004] Traditional tuning systems cannot provide customized tuning solutions based on different program types and user preferences, so the final audio effect is often not in line with the program content and audience expectations, reducing the program's appeal and audience satisfaction, and lacking a continuous optimization mechanism. Traditional systems do not have the ability to learn and cannot continuously improve their tuning strategies based on the tuner's operating habits and feedback. After long-term use, they may still have inefficiencies and cannot adapt to the increasingly complex program production needs. Summary of the invention

[0005] 1. Technical Problems Solved

[0006] The technical problems to be solved by the present invention are the various problems mentioned in the above background technology, and a tuning system for broadcasting and television with an intelligent prompting system is provided.

[0007] 2. Technical Solution

[0008] In order to solve the above technical problems, the present invention provides a technical solution: a tuning system for broadcasting and television with an intelligent prompting system, comprising:

[0009] An audio acquisition module, used to obtain original audio signals from multiple audio sources;

[0010] An intelligent analysis module, which extracts and classifies the audio signal based on a machine learning model, identifies the audio type and evaluates the audio quality;

[0011] An intelligent prompt module generates corresponding tuning suggestions based on the results of the intelligent analysis module and preset audio standards and program types;

[0012] User interaction interface, providing a graphical interface for tuners to view smart prompts and perform corresponding operations;

[0013] Automation control module allows basic tuning adjustments to be automatically applied with the engineer's permission.

[0014] As an improvement, the intelligent prompt module also has real-time, personalization, learning and error prevention functions. It can quickly give tuning suggestions while audio is input, customize plans according to different program types and user preferences, and continuously optimize the recommendation strategy as the number of uses increases. At the same time, it will issue warnings and make correction suggestions when possible misoperation or audio abnormalities are detected.

[0015] As an improvement, the intelligent analysis module further includes:

[0016] A feature extraction unit, used to extract key features in the audio signal, specifically frequency distribution, dynamic range and harmonic structure;

[0017] A classification and recognition unit is used to classify audio signals into different types such as speech, music, and ambient sound;

[0018] The quality evaluation unit is used to evaluate the quality parameters of the audio signal, specifically clarity, signal-to-noise ratio and balance.

[0019] As an improvement, the user interaction interface includes the following subunits:

[0020] Real-time audio visualization component, used to display the waveform or spectrum of the current audio;

[0021] Smart prompt display area, used to present tuning suggestions generated by the smart prompt module;

[0022] Tuning parameter adjustment controls, allowing the tuner to manually adjust various audio parameters;

[0023] Automation mode toggle button allows the engineer to choose whether to enable the automation control module.

[0024] As an improvement, it also includes a feedback and learning mechanism, which records the tuner's actual operations and compares them with previous predictions to evaluate system performance, and adds new data to the training set to improve the algorithm model, ensuring that future prompts are more accurate and in line with actual needs.

[0025] As an improvement, the audio acquisition module supports multiple audio formats and interface protocols and is compatible with different types of audio devices.

[0026] As an improvement, the machine learning model of the intelligent analysis module is trained through supervised learning, unsupervised learning or reinforcement learning, and can adapt to the production needs of different types of broadcasting and television programs.

[0027] As an improvement, the user interaction interface supports multi-platform deployment and is applicable to Windows, macOS, Linux operating systems, as well as iOS and Android platforms on mobile devices.

[0028] 3. Beneficial Effects

[0029] The advantages of the present invention compared with the prior art are:

[0030] 1. The intelligent prompt module of the tuning system of the present invention can monitor audio signals in real time and quickly give tuning suggestions, helping tuners to respond quickly and reducing the time for manual adjustment. Especially in time-sensitive environments such as live broadcasts, it effectively avoids problems caused by delays or misoperations. At the same time, the intelligent analysis module performs in-depth analysis of the audio based on a machine learning model, accurately identifies different types of audio and evaluates their quality parameters, ensuring that the output audio reaches the best state in terms of clarity, signal-to-noise ratio and balance, and meets the high standards of radio and television programs.

[0031] 2. The intelligent prompt module of the tuning system of the present invention has the ability of personalized customization, and can generate exclusive tuning plans according to different program types (such as news, interviews, concerts) and the preferences of specific users, so that the final audio effect is more in line with the program content and audience expectations. The system has a built-in feedback and learning mechanism, which can record the tuner's operations and compare them with the predicted results, and continuously improve its own algorithm model. As the number of uses increases, the system will become more intelligent and accurate, which will help improve the quality of the overall workflow in the long run. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 The present invention is a structural diagram of a tuning system for broadcasting and television with an intelligent prompting system. DETAILED DESCRIPTION

[0033] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] Embodiment 1

[0035] like Figure 1 As shown, a tuning system for broadcasting and television with an intelligent prompting system comprises:

[0036] An audio acquisition module, used to obtain original audio signals from multiple audio sources;

[0037] An intelligent analysis module, which extracts and classifies the audio signal based on a machine learning model, identifies the audio type and evaluates the audio quality;

[0038] An intelligent prompt module generates corresponding tuning suggestions based on the results of the intelligent analysis module and preset audio standards and program types;

[0039] User interaction interface, providing a graphical interface for tuners to view smart prompts and perform corresponding operations;

[0040] Automation control module allows basic tuning adjustments to be automatically applied with the engineer's permission.

[0041] The intelligent prompt module also has real-time, personalized, learning and error prevention functions. It can quickly give tuning suggestions while audio is input, customize solutions according to different program types and user preferences, and continuously optimize recommendation strategies as the number of uses increases. At the same time, it will issue warnings and make correction suggestions when possible misoperations or audio anomalies are detected.

[0042] The intelligent analysis module further comprises:

[0043] The feature extraction unit is used to extract key features from the audio signal, specifically frequency distribution, dynamic range and harmonic structure; the classification and recognition unit is used to classify the audio signal into different types such as speech, music, ambient sound, etc.; the quality assessment unit is used to assess the quality parameters of the audio signal, specifically clarity, signal-to-noise ratio and balance.

[0044] The user interaction interface includes the following subunits:

[0045] Real-time audio visualization component, used to display the waveform or spectrum of the current audio; intelligent prompt display area, used to present the tuning suggestions generated by the intelligent prompt module; tuning parameter adjustment controls, allowing the tuner to manually adjust various audio parameters; automation mode switch button, allowing the tuner to choose whether to enable the automation control module. It also includes a feedback and learning mechanism, which records the tuner's actual operation and compares it with previous predictions to evaluate system performance, and adds new data to the training set to improve the algorithm model to ensure that future prompts are more accurate and meet actual needs.

[0046] The audio acquisition module supports multiple audio formats and interface protocols and is compatible with different types of audio devices. The machine learning model of the intelligent analysis module is trained through supervised learning, unsupervised learning or reinforcement learning, and can adapt to different types of broadcast and television program production needs. The user interaction interface supports multi-platform deployment and is suitable for Windows, macOS, Linux operating systems as well as iOS and Android platforms on mobile devices.

[0047] The specific implementation of the tuning system of the present invention is as follows:

[0048] 1. Audio acquisition module

[0049] The audio acquisition module is the foundation of the entire system and is responsible for acquiring raw audio signals from multiple audio sources (such as microphones, players, external audio interfaces, etc.). To ensure compatibility and flexibility, the module supports multiple audio formats and interface protocols, including but not limited to AES / EBU, S / PDIF, ADAT, MIDI, USB, and analog input and output interfaces. This enables the system to seamlessly connect to various types of audio devices to meet the needs of different scenarios.

[0050] 2. Intelligent analysis module

[0051] The intelligent analysis module is one of the core components of the system, which performs in-depth analysis of audio signals based on machine learning models. Specifically, this module contains the following sub-units:

[0052] Feature extraction unit: Using advanced signal processing algorithms, it extracts key features from audio signals, such as frequency distribution, dynamic range, and harmonic structure. These features provide the basis for subsequent classification, recognition, and quality assessment.

[0053] Classification and recognition unit: Through the trained machine learning model, the audio signal is automatically classified into different types such as speech, music, and ambient sound. This helps the system adopt corresponding processing strategies according to different types of audio.

[0054] Quality Assessment Unit: Evaluates the quality parameters of the audio signal, including clarity, signal-to-noise ratio, and balance. This unit can monitor the audio quality in real time to ensure that the output audio is in the best state.

[0055] 3. Intelligent prompt module

[0056] The intelligent prompt module generates corresponding tuning suggestions based on the results of the intelligent analysis module, combined with the preset audio standards and the current program type. This module has the following features:

[0057] Real-time: It can quickly give tuning suggestions while audio is being input, ensuring the immediacy and smoothness of the tuning process.

[0058] Personalization: Customize exclusive tuning solutions based on different program types (such as news, interviews, concerts) and user preferences, so that the final audio effect is more in line with the program content and audience expectations.

[0059] Learning ability: As the number of uses increases, the system will continue to learn the tuner's habits and preferences, gradually optimize its own recommendation strategy, and improve the accuracy and applicability of the recommendations.

[0060] Error prevention: When a possible misoperation or audio anomaly is detected, the system will issue a warning and make correction suggestions to help the tuner avoid mistakes and ensure audio stability during program production.

[0061] 4. User Interface

[0062] The user interface provides an intuitive graphical operation platform for tuners, which mainly includes the following sub-units:

[0063] Real-time audio visualization component: Displays the current audio in the form of a waveform or spectrum graph, helping the mixer to intuitively understand the changes in the audio.

[0064] Smart Prompt Display Area: presents tuning suggestions generated by the smart prompt module, where tuners can view specific adjustment parameters and operation instructions.

[0065] Tuning parameter adjustment controls: Provides a series of controls, such as sliders and knobs, that enable the tuner to manually adjust various audio parameters, such as volume, equalization, reverb, etc.

[0066] Automation mode switch button: allows the tuner to choose whether to enable the automation control module. After authorization, the system will automatically apply some basic tuning adjustments to reduce manual operation.

[0067] 5.Automation control module

[0068] After obtaining the tuner's authorization, the automation control module can automatically perform some basic tuning adjustments, such as volume balance, basic equalization settings, etc. This module has a security verification function. Only after the tuner's identity is confirmed and clear authorization is obtained can the automatic operation be performed to ensure the safety of the system. In addition, the automation control module also supports incremental learning, which can continuously optimize the automatic tuning strategy according to the tuner's operating habits.

[0069] 6. Feedback and learning mechanism

[0070] The feedback and learning mechanism is the key to continuous optimization of the system. The mechanism records the actual operation of the tuner and compares it with the previous prediction results to evaluate the performance of the system. The newly obtained data will be added to the training set to improve the algorithm model so that future prompts are more accurate and meet actual needs. This incremental learning method does not need to retrain the entire model, which improves learning efficiency.

[0071] 7. Multi-platform support

[0072] The user interface supports multi-platform deployment and is suitable for Windows, macOS, Linux operating systems, as well as iOS and Android platforms on mobile devices. This not only facilitates the mixer to switch work seamlessly between different devices, but also enhances the flexibility and portability of the system.

[0073] 8. Cloud service support

[0074] The system also integrates cloud service functions, allowing remote access and collaboration. Team members can share project files through the cloud, communicate and collaborate in real time, and improve work efficiency. In addition, cloud services also support data backup and recovery to ensure the security of important information.

[0075] 9. Logging function

[0076] The system has a built-in log recording function, which records the operation details of each tuning process in detail, which is convenient for post-review and problem tracking. This is of great significance for summarizing experience and improving work processes.

[0077] In summary, the tuning system for radio and television with an intelligent prompt system of the present invention, by introducing advanced intelligent technology and humanized design, realizes efficient, precise and personalized tuning work, significantly improves the audio quality of radio and television programs, and promotes the development of the industry to a higher level.

[0078] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0080] The present invention and its embodiments are described above, and such description is not restrictive. The drawings show only one embodiment of the present invention, and the actual structure is not limited thereto. In short, if ordinary technicians in the field are inspired by it, without departing from the purpose of the invention, they can design a structure and embodiment similar to the technical solution without creativity, which should belong to the protection scope of the present invention.

Claims

1. A tuning system for broadcasting and television with an intelligent prompting system, characterized in that: include: An audio acquisition module, used to obtain original audio signals from multiple audio sources; An intelligent analysis module, which extracts and classifies the audio signal based on a machine learning model, identifies the audio type and evaluates the audio quality; An intelligent prompt module generates corresponding tuning suggestions based on the results of the intelligent analysis module and preset audio standards and program types; User interaction interface, providing a graphical interface for tuners to view smart prompts and perform corresponding operations; Automation control module allows basic tuning adjustments to be automatically applied with the engineer's permission.

2. A tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The intelligent prompt module also has real-time, personalized, learning and error prevention functions. It can quickly give tuning suggestions while audio is input, customize solutions according to different program types and user preferences, and continuously optimize recommendation strategies as the number of uses increases. At the same time, it will issue warnings and make correction suggestions when possible misoperations or audio anomalies are detected.

3. The tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The intelligent analysis module further comprises: A feature extraction unit, used to extract key features in the audio signal, specifically frequency distribution, dynamic range and harmonic structure; A classification and recognition unit is used to classify audio signals into different types such as speech, music, and ambient sound; The quality evaluation unit is used to evaluate the quality parameters of the audio signal, specifically clarity, signal-to-noise ratio and balance.

4. The tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The user interaction interface includes the following subunits: Real-time audio visualization component, used to display the waveform or spectrum of the current audio; Smart prompt display area, used to present tuning suggestions generated by the smart prompt module; Tuning parameter adjustment controls, allowing the tuner to manually adjust various audio parameters; Automation mode toggle button allows the engineer to choose whether to enable the automation control module.

5. The tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: It also includes a feedback and learning mechanism that records the tuner's actual operations and compares them with previous predictions to evaluate system performance, and adds new data to the training set to improve the algorithm model, ensuring that future prompts are more accurate and in line with actual needs.

6. The tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The audio acquisition module supports multiple audio formats and interface protocols and is compatible with different types of audio devices.

7. A tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The machine learning model of the intelligent analysis module is trained through supervised learning, unsupervised learning or reinforcement learning, and can adapt to the production needs of different types of broadcasting and television programs.

8. The tuning system for broadcasting and television with an intelligent prompting system according to claim 1, characterized in that: The user interface supports multi-platform deployment and is applicable to Windows, macOS, Linux operating systems, as well as iOS and Android platforms on mobile devices.

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