KR102909984B1 - Smart radio cloud service system for providing radio broadcasting to various broadcasting platforms through virtualization - Google Patents

Abstract

A smart radio cloud service system providing radio broadcasting to various broadcasting platforms through virtualization according to the present invention includes: a smart radio encoder that converts an input audio signal into an audio channel bitstream required for a smart radio service and outputs the converted audio signal; and a smart radio cloud that receives the audio channel bitstream output from the smart radio encoder and outputs a broadcasting service bitstream and a broadband service bitstream; By combining service virtualization and AI, the same radio broadcasting content can be provided with optimal quality for various platforms, thereby having the effect of maximizing the operational efficiency and service quality of a broadcasting company.

Description

SMART RADIO CLOUD SERVICE SYSTEM FOR PROVIDING RADIO BROADCASTING TO VARIOUS BROADCASTING PLATFORMS THROUGH VIRTUALIZATION

The present invention relates to a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, and more specifically, to a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization that automatically optimizes and transmits radio content to various digital platforms such as terrestrial radio, mobile apps, web streaming, smart speakers, and IPTV through AI-based transmission optimization and path selection functions.

Traditional radio broadcasting operates through a frequency-based terrestrial transmission system, with listeners physically restricted to staying within the broadcast frequency range. This approach limits broadcast coverage geographically and prevents the provision of modern services linked to various digital platforms.

Especially in today's world, where the use of digital devices and platforms is on the rise, traditional broadcasting methods alone are not sufficient to adequately address mobility and diverse consumer demands.

Traditional radio receivers could only listen to a limited range of broadcasts based on specific local frequencies, which created the inconvenience of having to rely on specific devices such as traditional radio receivers or car radios to access broadcasts.

In this context, the advancement of the digital environment and changing user demands are demanding a fundamental shift in broadcasting service delivery, and new possibilities are opening up, particularly through advancements in AI and network technologies.

Advances in digitalization, network technologies, and the adoption of AI offer opportunities to overcome these limitations.

In particular, utilizing the Internet and cloud computing can replace physical transmission infrastructure to deliver broadcast content across a variety of devices and platforms, and AI can automatically select the optimal transmission method and path to provide stable and customized content to listeners.

Users can access radio broadcasts through a variety of devices, including smartphones, tablets, computers, smart TVs, and smart speakers. Consequently, broadcasters are exploring ways to reach global audiences by leveraging digital networks beyond physical frequency transmission.

To meet these demands, service virtualization and AI-based transmission optimization technologies are playing a crucial role. Service virtualization, which implements physical hardware and network infrastructure in software, is being utilized in a variety of application fields.

In the broadcasting industry, virtualization technology reduces reliance on physical transmission equipment, allows broadcasts to operate on cloud-based software infrastructure, and enables AI to automatically select the optimal transmission method and path for each platform.

This will enable broadcasters to deliver broadcast services in a more flexible and cost-effective manner, ensuring the best quality of service to listeners.

For example, AI can analyze listener locations and connection environments to set customized transmission routes in real time and automatically manage traffic, enabling stable content delivery.

In particular, modern listeners access radio broadcasts not only through traditional receivers but also through various platforms such as smartphone apps, web streaming, IPTV, and smart speakers.

Accordingly, broadcasters are faced with the challenge of adapting content based on AI to the characteristics of each platform and supporting diverse user experiences through automated traffic management.

Republic of Korea Patent Publication No. 10-2012-0009957 (February 2, 2012)

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention aims to provide a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, which can improve user experience and maximize operational efficiency of broadcasters by overcoming the physical limitations of traditional radio broadcasting and providing consistent broadcasting content across multiple devices and platforms through AI-based transmission optimization functions.

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention utilizes AI to analyze the listener's device, network status, location, etc. in real time, and selects and optimizes the most appropriate transmission method based on the analysis, thereby enabling transmission of high-quality content suitable for each platform, thereby providing a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization so that listeners can receive stable broadcasting services in various environments.

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention provides a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, which automatically selects a transmission path suitable for each platform based on AI-based user analysis data, guarantees the best service quality to the user, and sets the transmission method differently according to the characteristics of each platform, thereby providing a consistent broadcasting experience on various devices.

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention provides a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization that can flexibly respond to traffic changes through load balancing and scaling functions that dynamically adjust transmission methods according to traffic loads through an automated traffic management function utilizing AI, and can guarantee uninterrupted service to users.

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention provides a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, which can reduce operating costs and increase efficiency by enabling broadcasters to no longer bear the maintenance costs for physical equipment through service virtualization, to integrate and manage multiple broadcasting platforms in a software-based virtualization environment, to adjust broadcasting content in real time through an AI-based automation system, and to quickly respond to various listener demands.

In order to solve the above-described problems, inconveniences, and challenges, the present invention aims to provide a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, designed to enable radio broadcasting services to easily adapt to new technological environments by having expandability to various platforms and devices.

In order to solve the above-mentioned problems, inconveniences, and challenges, the present invention provides a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, so that listeners can enjoy broadcasting content without interruption anywhere without being restricted by a specific device, by providing consistent broadcasting quality on all devices accessed by users through service virtualization and AI technology.

In summary, the present invention aims to provide a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, which can provide a solution optimized for the modern broadcasting environment by supporting radio broadcasting to be operated flexibly and scalably on various digital platforms without physical constraints through AI-based optimization technology and service virtualization to solve the above-mentioned problems, inconveniences, and challenges.

In order to achieve the above-described purpose, a smart radio cloud service system providing radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by including: a smart radio encoder that converts an input audio signal into an audio channel bitstream required for a smart radio service and outputs the converted audio signal; and a smart radio cloud that receives the audio channel bitstream output from the smart radio encoder and outputs a broadcasting service bitstream and a broadband service bitstream.

In order to achieve the above-described purpose, the smart radio cloud service system for providing radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by further including: a real-time AI-based narration server that generates automated voice narration for radio broadcasting and provides it to the smart radio encoder; a content server that stores and manages information related to various radio contents; and a data server that provides a data stream to the smart radio cloud.

In order to achieve the above-described object, a smart radio encoder of a smart radio cloud service system providing radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by including: an audio encoder that converts the input audio signal into an audio bitstream using a standardized audio codec; a content information encoder that generates an audio content bitstream including additional content information based on the audio bitstream transmitted from the audio encoder; a first channel information encoder that receives the audio content bitstream from the content information encoder and generates an audio channel bitstream; and an SRE-AI manager that controls the operations of the audio encoder, the content information encoder, and the first channel information encoder to be optimized by utilizing AI through an AI-based control algorithm.

In order to achieve the above-described purpose, the SRE-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized in that it controls the real-time AI-based narration server to automatically generate news, weather information, song introductions, and advertisements, and transmits them to the audio encoder.

In order to achieve the above-described purpose, the SRE-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by analyzing the device information and location of the listener to provide optimal broadcasting quality.

In order to achieve the above-described purpose, the SRE-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by detecting the transmission environment and automatically adjusting the encoding method.

In order to achieve the above-described object, a smart radio cloud of a smart radio cloud service system providing radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by including: an SRC-AI manager for transmitting control information necessary for outputting an audio content bitstream and an audio channel bitstream to the content server and a smart radio encoder; a second channel information encoder for receiving the audio content bitstream and target broadcasting channel or transmission platform information and outputting channel information and an adapted channel bitstream; a channel information adaptation unit for receiving the audio channel bitstream and the channel information and generating an adapted channel bitstream; a transmission traffic control unit for managing the adapted channel bitstream to control transmission traffic and outputting an audio broadcasting bitstream and an audio wideband bitstream; a broadcasting transmission scheduler for multiplexing the audio broadcasting bitstream and the data stream to convert the converted audio broadcasting bitstream and the data stream to output the converted audio wideband bitstream; and a broadband transmission scheduler for multiplexing the audio wideband bitstream and the data stream to convert the converted audio wideband bitstream and the data stream to output the converted audio wideband service bitstream.

In order to achieve the above-described purpose, the SRC-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized in that it dynamically changes the bit rate according to the channel environment in the case of a communication service through the broadband transmission scheduler.

In order to achieve the above-described purpose, the transmission traffic control unit of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by controlling transmission traffic by dividing server load through streaming offloading that monitors the network environment or user information in real time and allocates a new streaming server or CDN server.

In order to achieve the above-described purpose, the SRC-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by selecting music to be used in broadcasting based on previously broadcasted programs and generating appropriate narration therefor using an AI engine.

In order to achieve the above-described purpose, the SRC-AI manager of the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention is characterized by using AI to compose programs, measuring music preferences in real time, and updating and providing music reflecting the demands of listeners in real time.

The smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention can provide the same radio broadcasting content with optimal quality for multiple platforms by combining service virtualization and AI, thereby having the effect of maximizing the operational efficiency and service quality of the broadcasting company.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention utilizes AI and virtualization technology to optimize transmission, select customized routes, and manage traffic. The smart radio cloud service provides listeners with seamless radio broadcasting accessibility through various digital devices and platforms, and has the effect of enabling flexible operation of broadcasting companies.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention enables radio broadcasting to continuously expand and evolve in a rapidly changing media environment, and has the effect of enabling broadcasters to maintain competitiveness even on new platforms.

The smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention has the effect of increasing user satisfaction and providing a better listening experience.

Furthermore, digital broadcasting is shifting to an IP-based transmission platform, led by ATSC 3.0, blurring the lines between internet streaming services and traditional broadcasting. If digital radio services also become IP-based, they can be offered in a variety of formats using AI and virtualization technologies.

Accordingly, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention can be provided in various ways, such as IP-based radio broadcasting and datacasting-based radio broadcasting using broadcasting channels, and the virtualization environment utilizing the cloud platform has the effect of providing one digital radio program to various platforms.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention has the effect of overcoming the regional frequency limitations of existing radio broadcasting and securing flexibility and expandability to provide radio content globally by utilizing digital platforms and AI technology.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention has the effect of consistently improving user experience by providing radio content in a customized manner to various digital platforms such as terrestrial radio, mobile apps, web streaming, smart speakers, and IPTV through AI-based transmission optimization and path selection functions.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention can reduce dependence on physical equipment and maximize flexibility and cost efficiency of broadcasting operations by utilizing cloud and virtualization, and also has the effect of improving operational efficiency through automated control through AI.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention automatically selects a transmission method suitable for each platform through user environment analysis and network status analysis using AI technology, and efficiently manages traffic load to provide a high-quality, uninterrupted broadcasting experience.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention has the effect of improving user satisfaction by analyzing user location, connection environment, device characteristics, etc. in real time through AI and providing personalized radio content and services based on the same.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention enables the convergence of broadcasting and communication services, and has the effect of implementing a modern and innovative broadcasting service that breaks away from traditional broadcasting methods through integration with digital devices.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention can provide stable content even when service traffic surges through AI-based streaming offloading technology, and has the effect of being easily adaptable to new platforms and technology environments.

In addition, the smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention has the effect of composing music or content in real time without a host by utilizing AI-based program creation technology and providing customized broadcasting programs that reflect user preferences.

FIG. 1 is a configuration diagram of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.
FIG. 2 is a detailed configuration diagram of a smart radio encoder of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.
FIG. 3 is a detailed configuration diagram of a smart radio cloud of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.

Terms or words used in this specification and claims should not be interpreted as limited to their usual or dictionary meanings, but should be interpreted as meanings and concepts that conform to the technical spirit of the present invention, based on the principle that the inventor can appropriately define the concept of the term to explain his or her own invention in the best possible manner.

Therefore, it should be understood that the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention, and that there may be various equivalents and modified examples that can replace them at the time of filing this application.

For reference, prior to a detailed description of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention, the functional requirements of IP-based audio content transmission are described.

The functional requirements of the above IP-based audio content transmission define the functional requirements of IP-based audio content transmission from the following perspectives.

First, from a codec perspective, it is a requirement to achieve coding efficiency, scalability, and multi-profile support.

From a codec perspective, from an audio codec perspective, the following functional requirements are basically considered depending on the choice of codec specification:

Efficiency: Audio coding efficiency directly impacts the quality and size of audio content and must be improved. Higher coding efficiency provides better sound quality at lower bitrates and plays a crucial role in reducing data transmission.

Efficiency is particularly important when transmitting multiple audio services over limited bandwidth.

Scalability: Audio codecs require scalability to handle varying levels of audio quality and bitrate. Scalability allows for a base quality layer to be provided first, and then quality can be improved through additional layers.

Profiles: Audio codec profiling is necessary to provide a feature set that can adapt to various usage scenarios. Multiple profiles for audio services allow the same codec to be used in various service scenarios, depending on network conditions or device capabilities.

Second, there are functional requirements for interoperability with various systems and multiplexing to provide additional services and metadata.

Content Multiplexing and Packaging The following functional requirements are considered for the purpose of IP-based packaging of audio content and multiplexing with metadata and additional services.

IP Interoperability: Audio content must be properly packaged using IP encapsulation as a transport protocol. IP encapsulation provides flexibility, supporting a variety of media types and transmission methods. Standardized IP protocols ensure compatibility and interoperability with different network platforms and devices.

Metadata: Audio content must be multi-layered with metadata related to that audio content. These metadata services allow audio services to be managed based on audio information (e.g., title, artist, genre, lyrics, etc.) and improve the user experience.

Additional Services: Audio content must be accompanied by related additional services, such as graphics, logos, icons, or video content. These additional features enhance the user experience through visual effects and make the service recognizable to users.

However, even if additional video content is included, audio content must still remain the primary content.

Third, there are scheduling functional requirements to support various networks and ensure transmission quality and delay.

After scheduling and service provision multiplexing, audio content scheduling includes the operational functions of various transmission networks and must guarantee service quality.

The following functional requirements are considered from a scheduling perspective:

Support for diverse networks: Audio content scheduling must support and operate across diverse service networks (e.g., mobile 4G/5G, terrestrial, cable, satellite, etc.) that are interoperable with IP transmission. It must also be able to efficiently allocate transmission resources across service networks.

Resilience: Scheduling must support the robustness of a specific service network. This can be achieved through error correction, quality of service management, or network optimization.

For example, in the case of mobile transport networks, it supports strict environments (such as mobile) by controlling modulation and coding methods.

Delay: Scheduling must minimize transmission delay to meet specific timing requirements. This is influenced not only by scheduling but also by functional requirements such as coding (first) and multiplexing (second).

Hereinafter, with reference to the attached drawings, a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention will be described in detail.

FIG. 1 is a configuration diagram of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.

As illustrated in FIG. 1, a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention includes a smart radio encoder (100), a real-time AI-based narration server (200), a content server (300), and a smart radio cloud (400).

FIG. 2 is a detailed configuration diagram of a smart radio encoder of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.

As illustrated in FIG. 2, the smart radio encoder (100) includes an SRE-AI manager (110), an audio encoder (120), a content information encoder (130), and a first channel information encoder (140) to provide optimized audio content to the user.

The above smart radio encoder (100) converts the input audio signal into an audio channel bitstream required for the smart radio service through each block.

The above SRE-AI manager (110) transmits control information to the audio encoder (120), content information encoder (130), and first channel information encoder (140) so that the operation of each block is optimized using AI.

Through this, the smart radio encoder (100) implements a flexible and efficient broadcasting service that can provide high-quality radio content tailored to the user environment to various devices and platforms.

More specifically, the SRE-AI manager (110) is a core control block of the smart radio encoder (100), and controls the operations of the audio encoder (120), content information encoder (130), first channel information encoder (140), content server (300), real-time AI-based narration server (200), etc. through an AI-based control algorithm.

The above SRE-AI manager (110) analyzes the listener's device information (smartphone, smart speaker, in-vehicle audio system, etc.) and location to provide optimal broadcast quality.

In addition, the SRE-AI manager (110) detects various transmission environments such as streaming, broadcasting, and data casting and automatically adjusts the encoding method.

In addition, the SRE-AI manager (110) controls the AI-based narration server (200) to automatically generate news, weather information, song introductions, advertisements, etc., and transmit them to the audio encoder (120).

The above audio encoder (120) converts the input audio signal into an audio bitstream using a standardized audio codec.

At this time, the applied audio codec utilizes a standard codec that supports the target broadcasting and streaming service, and becomes the basis for the audio content bitstream to be used in the subsequent steps.

In addition, the audio encoder (120) is controlled to receive control information (codec standard, compression ratio, etc.) for the audio codec from the SRE-AI manager (110) so as to optimize encoding settings.

At this time, the audio encoder (120) can also receive a narration voice signal generated in real time through the real-time AI-based narration server (200).

The above content information encoder (130) generates an audio content bitstream including additional content information based on the audio bitstream transmitted from the audio encoder (120).

The audio content bitstream generated by the content information encoder (130) is stored in the content server (300) and utilized in the smart radio cloud according to the service.

The above content information includes not only information directly related to the content, such as singer information and lyrics, but also the results analyzed by AI transmitted from the SRE-AI manager (110).

The first channel information encoder (140) receives an audio content bitstream from the content information encoder (130), encodes additional information for each channel, and generates a final audio content bitstream that is serviced through a broadcasting network or a communication network.

Channel information includes information about the channel (broadcasting network, communication network, streaming, etc.) providing radio services and is used to determine the optimal transmission method and settings based on transmission channel conditions. The control information required to determine the transmission method and settings is transmitted from the SRE-AI manager (110).

The above real-time AI-based narration server (200) is a key element that generates automated voice narration for radio broadcasting and provides it to the audio encoder (120).

The above voice narration is generated in real time using generative AI for various types of broadcast content such as news, weather forecasts, traffic information, and sports broadcasts, and may include narration introducing song titles, singer names, and album information.

In addition, the real-time AI-based narration server (200) can generate narration similar to that of an actual host by utilizing deep learning-based voice synthesis (TTS, Text-to-Speech) technology or learning the voice of an existing recorded DJ.

The above content server (300) serves to store and manage information related to various radio contents.

FIG. 3 is a detailed configuration diagram of a smart radio cloud of a smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization according to the present invention.

As illustrated in FIG. 3, the smart radio cloud (400) includes an SRC-AI manager (410), a second channel information encoder (420), a channel information adaptation unit (430), a transmission traffic control unit (440), a broadcast transmission scheduler (450), and a wideband transmission scheduler (460), and transmits the audio channel bitstream received from the smart radio encoder (200) in a manner optimized for various platforms.

In this process, the channel information adaptation unit (430), transmission traffic control unit (440), broadcast transmission scheduler (450), and broadband transmission scheduler (460) each perform a role to adjust and transmit signals suitable for broadcast and broadband streaming channels.

The above SRC-AI manager (410) transmits control information necessary to output an optimized audio content bitstream and an adaptive channel bitstream to the content server (300) and smart radio encoder (200).

That is, the SRC-AI manager (410) transmits control information to all blocks to maintain optimized transmission quality, thereby enabling the smart radio cloud (400) to flexibly provide high-quality radio broadcasts tailored to the user environment on various devices and platforms.

The above SRC-AI manager (410) is a core control configuration of the smart radio cloud (400) and controls and optimizes each component through an AI-based control algorithm.

The above SRC-AI manager (410) transmits control information to each configuration to adjust the transmission method in real time according to the user environment, network status, and platform requirements, and maintain optimized service quality.

In addition, the SRC-AI manager (410) not only performs the function of controlling the smart radio encoder (100) and the smart radio cloud (400) based on an AI algorithm to provide an optimal digital radio service using broadcasting and communication channels, but can also perform the following functions.

The above content server (300) serves to provide an audio content bitstream to the second channel information encoder (420) under the control of the above SRC-AI manager (410).

The second channel information encoder (420) receives an audio content bitstream and target broadcast channel or transmission platform information from the content server (300) and outputs an adaptive channel bitstream to be actually transmitted to the transmission traffic control unit (440).

Additionally, the second channel information encoder (420) transmits channel information to the channel information adaptation unit (430).

The above channel information adaptation unit (430) adapts the audio channel bitstream received from the smart radio encoder (100) to the characteristics of various platforms, thereby generating an adaptation channel bitstream suitable for each channel.

At this time, the channel information adaptation unit (430) receives control information from the SRC-AI manager (410) in the process of generating an adaptive channel bitstream and optimizes a bitstream suitable for the transmission channel.

The (adaptive) channel bitstream adapted by the above channel information adaptation unit (430) is transmitted to the transmission traffic control unit (440).

The above transmission traffic control unit (440) performs the role of controlling transmission traffic by managing an adapted (adaptive) channel bitstream.

The above transmission traffic control unit (440) dynamically adjusts the transmission method according to the traffic load, and receives control information from the SRC-AI manager (410) to optimize traffic control.

The traffic bitstream controlled by the above transmission traffic control unit (440) is transmitted to the broadcast transmission scheduler (450) and the broadband transmission scheduler (460).

The above broadcast transmission scheduler (450) serves to convert the audio broadcasting bitstream received from the transmission traffic control unit (440) and the data stream received from the data server (500) into a broadcast service bitstream and transmit it.

In addition, the broadcast transmission scheduler (450) configures a payload so that it can be transmitted through a traditional broadcast channel, and receives control information from the SRC-AI manager (410) to adjust transmission quality.

The broadcast service bitstream output from the above broadcast transmission scheduler (450) can also be transmitted through a datacasting channel in a broadcast environment.

The above-mentioned broadband transmission scheduler (460) serves to convert and transmit the audio broadband bitstream received from the transmission traffic control unit (440) and the data stream received from the data server (500) by multiplexing them into a broadband service bitstream.

In addition, the broadband transmission scheduler (460) provides a transmission method optimized for transmission on streaming and IP-based platforms, and receives control information from the SRC-AI manager (410) to adjust quality and transmission method.

The above data server (500) serves to provide a data stream to be transmitted together with an audio stream to the broadcast transmission scheduler (450) and the broadband transmission scheduler (460).

The data stream provided with the above audio stream has no restrictions on content and can include program-related metadata, subtitles and captions that can be utilized by digital radio receivers, multimedia data such as short video clips or animations, emergency notifications and public information, app updates and data files, and data for updating the on-device AI engine.

The above-mentioned functions of the SRC-AI manager (410) controlling the smart radio cloud (400) are as follows.

First, the SRC-AI manager (410) utilizes the broadcast transmission scheduler (450) and the broadband transmission scheduler (460) to simultaneously provide an optimal broadcast/communication service, in order to simultaneously provide a broadcast service that is free and universal but has limitations in the reception environment due to the antenna and radio environment, and a communication streaming service that has no limitations in the reception environment but has variable quality depending on the channel situation.

That is, the SRC-AI manager (410) provides a fixed bandwidth service in the case of a broadcast channel, but dynamically changes the bit rate to provide an optimal service depending on the channel environment in the case of a communication service.

Meanwhile, streaming services, a representative broadband communication service, can experience a sharp decline in service quality when there is a surge in users at a certain point in time or for a certain content.

The above SRC-AI manager (410) controls the transmission traffic control unit (440) to monitor the network environment or user information in real time and secure service quality by dividing the server load through streaming offloading that allocates a new streaming server or CDN server.

In addition, the SRC-AI manager (410) utilizes any spare bandwidth available for the broadcast channel to transmit the streaming service to the broadcast channel to a terminal capable of receiving streaming services and radio broadcasts simultaneously.

For music channels, the music genre and target audience are typically determined by time slot. Therefore, the SRC-AI manager (410) can select music to be used in broadcasts based on previously broadcast programs and generate appropriate narration using an AI engine.

For example, a Sunday broadcast can be generated and broadcast using AI without a separate host or producer based on the content broadcast from Monday to Saturday.

In particular, in the case of dedicated music channels, channels provided without a host are also provided, so the SRC-AI manager (410) can provide a function of composing a program using AI, measuring music preferences in real time, and updating and providing music that reflects the demands of listeners in real time.

Introductions to music can be provided using generative AI-powered script generation and voice generation. The SRC-AI manager (410) integrates and configures these functions, generating and providing radio programs optimized for the service platform's characteristics and channel conditions.

The above SRC-AI manager (410) provides a real-time digital radio service, i.e., a datacasting digital radio service, using a data channel rather than a traditional broadcast stream in a broadcasting environment.

These datacasting digital radio services can flexibly provide various data services linked to actual broadcast radio content, and dynamically control the bandwidth required for the service depending on the service environment.

While the technical concepts of the present invention have been described above, along with the accompanying drawings, they are merely illustrative of preferred embodiments of the invention and are not intended to limit the scope of the invention. Furthermore, it is readily apparent that anyone skilled in the art will be able to make various modifications and imitations without departing from the scope of the technical concepts of the present invention.

100: Smart Radio Encoder
110: SRE-AI Manager
120: Audio Encoder
130: Content Information Encoder
140: First channel information encoder
200: Real-time AI-based narration server
300: Content Server
400: Smart Radio Cloud
410: SRC-AI Manager
420: Second channel information encoder
430: Channel Information Adaptation Section
440: Transmission traffic control unit
450: Broadcast Transmission Scheduler
460: Broadband Transmission Scheduler
500: Data Server

Claims (11)

A smart radio encoder that converts an input audio signal into an audio channel bitstream required for a smart radio service and outputs it;
A smart radio cloud that receives the audio channel bitstream output from the smart radio encoder and outputs a broadcast service bitstream and a broadband service bitstream; and
A real-time AI-based narration server that generates automated voice narration for radio broadcasts similar to an actual host by utilizing deep learning-based text-to-speech (TTS) technology or learning the voices of existing recorded DJs, and provides it to the smart radio encoder;
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized by including .
In paragraph 1,
A content server that stores and manages information related to various radio contents; and
A smart radio cloud service system providing radio broadcasting to various broadcasting platforms through virtualization, characterized in that it further includes a data server providing a data stream to a smart radio cloud.
In the second paragraph,
The above smart radio encoder is
An audio encoder that converts the input audio signal into an audio bitstream using a standardized audio codec;
A content information encoder that generates an audio content bitstream including additional content information based on an audio bitstream transmitted from the audio encoder;
A first channel information encoder that receives an audio content bitstream from the content information encoder and generates an audio channel bitstream; and
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized in that it includes an SRE-AI manager that controls the operations of the audio encoder, the content information encoder, and the first channel information encoder using AI through an AI-based control algorithm.
In the third paragraph,
The above SRE-AI manager
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized in that it controls the real-time AI-based narration server to automatically generate news, weather information, song introductions, and advertisements and transmits them to the audio encoder.
In the third paragraph,
The above SRE-AI manager
A smart radio cloud service system that provides radio broadcasts to various broadcasting platforms through virtualization, characterized by analyzing the listener's device information and location to provide broadcasts.
In the third paragraph,
The above SRE-AI manager
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized by detecting the transmission environment and automatically adjusting the encoding method.
In the second paragraph,
The above smart radio cloud
An SRC-AI manager that transmits control information required to output audio content bitstreams and audio channel bitstreams to the content server and smart radio encoder;
A second channel information encoder that receives the audio content bitstream and target broadcast channel or transmission platform information and outputs channel information and an adapted channel bitstream;
A channel information adaptation unit that receives the audio channel bitstream and the channel information and generates an adapted channel bitstream;
A transmission traffic control unit that controls transmission traffic by managing the above-mentioned adapted channel bitstream and outputs an audio broadcast bitstream and an audio wideband bitstream;
A broadcast transmission scheduler that converts the above audio broadcast bitstream and the above data stream into a broadcast service bitstream and outputs it; and
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized by including a wideband transmission scheduler that converts and outputs a wideband service bitstream by multiplexing the above audio wideband bitstream and the above data stream.
In paragraph 7,
The above SRC-AI manager
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized in that the bit rate is dynamically varied according to the channel environment in the case of a communication service through the above-mentioned broadband transmission scheduler.
In paragraph 7,
The above transmission traffic control unit
A smart radio cloud service system that provides radio broadcasting to various broadcasting platforms through virtualization, characterized by controlling transmission traffic by dividing server loads through streaming offloading, which allocates new streaming servers or CDN servers by monitoring network environments or user information in real time.
In paragraph 7,
The above SRC-AI manager
A smart radio cloud service system that provides radio broadcasts to various broadcasting platforms through virtualization, featuring the ability to select music to be used in broadcasts based on previously broadcast programs and generate appropriate narration using an AI engine.
In paragraph 7,
The above SRC-AI manager
A smart radio cloud service system that provides radio broadcasts to various broadcasting platforms through virtualization, featuring programs composed using AI, real-time measurement of music preferences, and real-time updates and provision of music that reflects listener demand.