Will AI composition bring a second spring to digital music platforms? | rajagacor99, dolar slot88

Not long ago, soloists from the Central Conservatory of Music and the American artificial intelligence "orchestra" performed 12 Chinese and foreign works. This was the first appearance of the music artificial intelligence accompaniment system in China.

But in fact, music artificial intelligence is not new. For example, in foreign countries, you can easily create a beautiful song by logging into Jukedeck's website and inputting basic information such as music type, mood, speed, instrument and length. Amper Music also provides similar music creation services.

AI has entered the music creation level, and there have been many cases in the Internet industry. In 2016, Sony researchers used software called Flow Machines to create a Beatles-style melody. It then fell into the hands of human composer Benoit Carre and was turned into a full-length pop song, "Daddy's Car."

In August this year, Microsoft announced that the fourth-generation XiaoIce will soon debut and release original singles to join the competition in the virtual singer market, and let XiaoIce "sing" a song "Invisible Wings" live.

In September this year, Sony Corporation’s Computer Science Research Institute announced that the FlowMachines artificial intelligence system it developed had created two popular songs, one called “Daddy’s Car” and the other an upbeat song imitating the style of The Beatles. The main functions of Xiami Music's "Exploring Music Laboratory" have also begun to include humming soundtracks, rap soundtracks, and AI song writing. However, it is not yet mature at the functional level and is only in the entertainment stage.

Music content output cannot meet the needs of the huge music market

One of the reasons why so many players are trying AI music creation is that the current production of music content, especially high-quality music content, is in short supply and cannot meet the needs of the current music market.

In today's era, the low output of high-quality original music works no longer requires the use of data to prove. This is closely related to the fact that digital music platforms have not formed a complete musician support mechanism, content production mechanism and profit model. Data shows that although the number of digital music users has become very large and listening to songs on music APPs has become mainstream, currently self-uploaded works by musicians only account for 3% of the entire Internet music library.

From the 1990s to around 2000, many people may still have a clear mark on this golden age of the music industry. Popular songs one after another became popular in the streets and became the collective memory of many people.

But in the past 5 to 6 years, the classic and high-quality new music works in the music world have become desolate to an outrageous degree. The various themed package recommendations on digital music platforms are also old songs that have been recycled year after year. Coupled with the covers and adaptations of various talent shows, classic old songs have been over-consumed, but new music works and tracks cannot support the content needs of the current digital music era.

The spring of digital music user growth has passed, iiMedia Research data showsAccording to the report, in the second quarter of 2018, the number of mobile music client users in China reached 523 million, with a growth rate of 1.82%. Its growth slope has slowed down, and the number of users is close to saturation. However, the content output of the music market is still very weak. This is still a hungry market. For most users today, the music library of a single online music APP is difficult to meet their daily needs.

In 2015, the National Copyright Administration issued the "Notice on Ordering Online Music Service Providers to Stop Unauthorized Dissemination of Music Works", known as the "strictest copyright order". Since then, my country's music industry has achieved full legalization. Today, mainstream music platforms such as Tencent, Alibaba, and NetEase have completed cross-authorization in pairs, and the music library has reached 99% openness and sharing.

Despite this, due to the formalization of music library copyrights, most music APPs have a lot of missing music content in terms of music copyrights. Data shows that about 15% of nearly 80 million users use multiple music APPs. Although Tencent has an advantage in this regard, it cannot monopolize all popular tracks.

Digital music currently only serves as a tool for listening to music. The weak revenue and content creation ecology of the music industry are becoming bottlenecks that constrain the industry.

Can the introduction of AI composition into digital platforms rebuild the industry?

In the final analysis, if today’s Internet music competition model still relies on spending money to buy copyrights to build barriers, then the future of this industry may be boring and uninteresting.

In the past, the recording industry, the main profit model for musicians, was destroyed, but the digital music platform that replaced it did not establish a complete support policy, nor did it establish a profit model for Internet musicians. Many music platforms have also launched various plans to support independent musicians to support musicians, trying to promote an ecology and mechanism for the production of original music content.

For example, NetEase Cloud Music has the "Stone Plan" to support independent musicians and open appreciation to all musicians; last year, Xiami Music announced the launch of the "Looking for Unexposed Youth" Project Light II; and Tencent Music Entertainment Group also launched the Tencent Musician Plan last year in an attempt to promote an original and exclusive musician ecosystem. However, their support provides little value to musicians. In fact, most independent musicians are in the long tail and do not have good traffic and payment rates, because the traffic of the platform is basically monopolized by the head.

The "2017 Tencent Entertainment White Paper" pointed out that in the 2017 Chinese album sales rankings, the album sales of Li Yuchun and Lu Han exceeded 15 million yuan, and the album sales of leading artists such as Kris Wu, Zhang Yixing, Eason Chan, and Stefanie Sun exceeded 5 million yuan. Singers who are not top singers and have low fan base and listening rates find it difficult to get good recommendations and income on digital music platforms. The lack of a business model naturally caused the source of the music industry's track creation to stall.

Where do the production of current pop songs come from? We found from the production areas of popular songs such as "Seaweed Dance", "Aries", "BINGBIAN Lesion", "Learning to Meow", "Desert Camel", "Paper is Short and Long", that the source of the production and popularity of today's pop songs is not record companies, not various digital music platforms, but short video platforms such as Douyin.

In other words, most music apps today are just tools. They do not have a good social mechanism, a mechanism to create hits, or an excellent content production mechanism. Therefore, instead, Douyin’s entertaining short videos BGM has its own communication attributes and has become the birthplace of current popular songs.

If major music apps can introduce AI intelligent creation models in the future, it may bring some new ways to music copyright, content production, and business models.

Compared with traditional music creation methods, the essence of AI music is to find relatively fixed templates through data analysis and learning, and then "create" and perform by applying the templates. Although the artistic perception ability of machines is still far behind that of humans, based on the development trend of technology, the level of independent creation of AI in the field of music is constantly improving.

Jukedeck CEO Ed Newton-Rex said that a few years ago, AI had not reached the stage where it could write music good enough for anyone. But now the technology is very mature.

For original singers and musicians, exhaustion of creative inspiration is the norm. AI music creation can become a source of inspiration for their music creation, which is of great value.

If AI technology can be used on some music apps to assist musicians to participate in the creation of some tracks and generate songs more efficiently, and if one day ordinary users and people in the music industry can create independently with the help of the platform's AI capabilities, this means that online music platforms will usher in a good era.

Because the most intuitive impact of AI functional composition is, firstly, the lowering of the threshold for music creation and the popularization of composition - with the further evolution of this AI technology, the music production part of the music industry, such as mastering processing, post-mixing, etc., will greatly reduce costs and improve efficiency. This kind of function with AI as its selling point can lead to the liberation of productivity in the music industry and a new model of AI music creation and copyright protection.

In the past, online music platforms relied on consumer giants to purchase copyrights. Among the current major digital music platforms, Tencent Music Group has the largest track copyright, so users often choose to download whose APP is based on their favorite celebrity singers’ tracks. Now from platforms such as Xiami and NetEase, we can know that many first-line singers’ tracks are missing, which has led to the loss of users.

In the current era of formalized copyright, current music output cannot meet the market's demand for high-quality music. AI creation can make up for the shortcomings in this area. It can provide more AI compositions for singers, artists, musicians, and folk music creation enthusiasts, and provide some inspiration to musicians or other art people. Maybe the melodies produced by AI can be used for reference or inspiration, and encourage more people to join in the creation of music tracks. On the one hand, it attracts more ordinary people through the entertainment model of AI music. On the other hand, it can further stimulate the creation of music content in return, and drive platform content producers and consumers to use music as a medium to create deeper social interactions.

In fact, its greater significance is that it may solve the platform's track content output and drive a new model of copyright management.

Because the essence of AI composition is to provide musicians with suitable music creation materials, assist them in their creation, or provide early composition services for existing arrangements. It actually provides a new solution for copyright in the music industry - with the help of AI, a massive music material library with a large number of clear single copyrights can be formed for digital music platforms.

In addition to directly buying out the single copyright and subscribing to membership, the platform can retain the copyright of the AI song, and users can also use it for commercialization and profit.At the same time, it can also help record companies or producers test the quality of music content and obtain share income to a certain extent.

For example, if an artist uses the music platform's AI technology to produce track content, the artist's contribution is creativity, and the platform specifically contributes the AI technology. To a certain extent, the overall copyright should belong to the musician, but the platform contributes the underlying technology, and it can obtain the right to use or disseminate the AI tracks through an early agreement.

On the one hand, the platform thus breaks the current limitation of purely relying on hoarding copyrights to build a moat, and can form a huge music content production mechanism without paying huge copyright costs. On the other hand, AI music creation plans can trigger new music creation trends and establish the platform advantages of AI music models.

In this way, the platform will open up more ideas on music copyright when it comes to promoting the production and copyright sharing of new music works. The competition model it brings may be more subversive, that is, it can drive the recording industry and musicians to settle on the platform, and connect the entire music industry through a shared copyright mechanism.

This may mean that after the Internet subverts the recording industry, it will be rebuilt through technology. This is the significance of the Internet's transformation of traditional industries.

New opportunities for musicians

An unavoidable topic is that if AI composition becomes more and more mature, will it take away the jobs of musicians? In the past, driven by the development of the Internet, models such as music usage commissions and live streaming rewards created unprecedented development opportunities for musicians. But at present, in the current music industry, it is far from the majority. It is a fact that the current income of musicians is low.

The "Research Report on the Survival Status and Copyright Awareness of Musicians" (hereinafter referred to as the Musician Report) by the School of Music and Recording Arts of Renmin University of China pointed out that the per capita music consumption level in the United States is US$16.41, while in China it is only US$0.15. The per capita music consumption in the United States is 109 times that of China. The income gap between Chinese and American musicians is 11 times.

" height="335" />

If you are poor, you will want to change. Artificial intelligence that can compose music may be scary for musicians, because to a certain extent, it is taking away the jobs of musicians. But in the past few years, music production artificial intelligence software has made great progress. At a time when musicians themselves have low income from digital albums, it will now act more as an assistant to musicians and help create more high-quality works.

Therefore, for the industry, rather than saying it is a scary novelty, it is a better outlet and opportunity. It is more likely to be a tool to help musicians improve their efficiency, and will help more producers use it to create in the future.

Google, Sony, Baidu, Apple, foreign startups such as Amper, Popgun, Jukedeck and Popgun, etc.They are all actively promoting their own AI music projects. Judging from future trends, creating music around artificial intelligence services will form an industry consensus, which can solve the current problems of copyrighted content on digital music platforms and insufficient activity and participation in music communities.

At present, all major music platforms want to deploy in the direction of the industry chain and create a complete industry chain of incubation, originality, and distribution. Perhaps, through the layout of AI technology, we can find ways to form an ecosystem of AI music creation, deepen the development of music content, improve the overall quality of music content, cultivate potential musicians, and focus on this industry from content to commercialization. This may be a good breakthrough direction for future digital music platforms.

The golden age of music has passed, and the current pattern of digital music platforms has been set, lacking new ways to play. Of course, bizhe is also optimistic that AI creation can bring a second spring to the music industry that is currently in recession and entering its twilight.