#AI in Music Industry

[ai-revolution]

Artificial Intelligence Revolutionizes the Music World: The Case of "Neural Notes Revolution"

Artificial intelligence (AI) is rapidly transforming our world, permeating sectors from healthcare to industry, education to transportation. This technology, which aims to replicate and surpass human cognitive abilities, promises to revolutionize the way we live and work.

The applications of AI are numerous and ever-expanding: from medical diagnosis to autonomous driving, data analysis to content creation. A particularly intriguing field is music, where AI is demonstrating remarkable potential.

Recently, there has been much discussion about AI-based music generation platforms like "Suno" and "Udio," accused of violating numerous artists' copyrights to train their algorithms. These controversies highlight the complex ethical and legal issues that AI raises in the artistic field.

In this context, the Italian project "Neural Notes Revolution" emerges, demonstrating how, with the aid of AI programs, the study of algorithms suitable for targeted generation of musical styles, voices, song structures, and with adequate post-processing, it's possible to produce musical pieces of any genre and style, in any language, in relatively short timeframes.

The project also leverages other generative AI platforms such as OpenAI's ChatGPT (Microsoft group, of which Elon Musk was a co-founder), Anthropic's Claude AI, and Google's Gemini. These technologies allow for the generation of texts, both original and based on precise or imaginative prompts, in numerous languages, even using expressions typical of specific localities and dialects.

However, "Neural Notes Revolution" still faces some challenges. The results provided by ChatBOTs require careful verification, and in the music field, generation platforms have significant limitations. In particular, "Suno" and "Udio" lack a precise and rigorous syntax that allows for accurate results. Often, the outcomes are even opposite to those desired, forcing a trial-and-error approach. One of the major limitations is the near-total impossibility of having clear style changes within the same song.

Expected future developments include the ability to modify produced songs in a targeted manner. It would be useful to have separate files for the vocal part, the musical backing, and the lyrics in subtitle format. Moreover, there's hope to be able to modify individual parts of text or music, and above all, to have a correct and rigorously respected syntax for the song structure and use of styles.

The use of these platforms raises several issues. On one hand, they offer new creative possibilities and democratize music production. On the other, they raise concerns about copyright, artistic authenticity, and the future of work in the music industry.

In conclusion, while giving space to creativity, we are still far from competing with the styles, voices, and tones of artists of all time. However, in defense of the "new artists" of the AI era, it must be recognized that creativity and skill are still necessary to produce musical pieces of a certain depth. This is particularly relevant in a modern musical landscape that often offers music devoid of artistic and cultural significance. AI in music thus represents both a challenge and an opportunity, requiring a balance between technological innovation and preservation of human artistic expression.

[delivermytuneo6]

AI in Music Education: Revolutionizing Learning for Musicians

The integration of artificial intelligence (AI) in music education has ushered in a new era of personalized and accessible learning. From beginner musicians to seasoned professionals, AI is reshaping the way people learn, practice, and create music. This article delves into how AI-powered tools and platforms are transforming music education and the broader implications for the future of the music industry.

AI-Powered Tools for Music Learning

One of the most notable advancements in music education is the emergence of AI-driven applications designed to teach various aspects of music. Tools like Yousician, Simply Piano, and Melodics are leading examples that cater to learners of all skill levels.

Yousician: This app uses AI to provide real-time feedback on pitch, rhythm, and timing as users play their instruments. Whether learning guitar, piano, or vocals, students can see instant analysis of their performance, allowing for more targeted practice sessions.

Melodics: Tailored for aspiring keyboard, pad, and drum players, Melodics provides AI-generated exercises that adapt to a learner’s progress. It emphasizes skill-building through engaging challenges and personalized lessons.

Simply Piano: This app employs AI to recognize notes played on a physical piano or keyboard and adjusts lessons based on the user's pace and accuracy.

AI tools like these are democratizing music education by providing affordable alternatives to private lessons while ensuring quality instruction.

Personalized Learning Through AI

Traditional music education often follows a one-size-fits-all approach, which may not address the unique needs of individual learners. AI changes this by enabling personalized learning paths.

Adaptive Learning Algorithms: AI-driven platforms can analyze a student’s strengths and weaknesses to create customized lesson plans. For instance, if a student struggles with rhythm but excels in melody, the system will prioritize rhythm exercises.

Progress Tracking: AI tools monitor a learner’s progress over time, identifying trends and areas for improvement. This helps students stay motivated and ensures continuous development.

Flexible Pacing: Unlike traditional lessons, where learners must adhere to a fixed schedule, AI allows students to learn at their own pace. This flexibility makes music education more inclusive, accommodating learners with varying commitments and learning speeds.

AI in Teaching Music Theory

Music theory, often considered the backbone of musicianship, can be challenging for beginners. AI simplifies this by breaking down complex concepts into digestible lessons.

Interactive Visualizations: AI applications often use dynamic visual aids to teach scales, chords, and progressions, making abstract concepts more tangible.

Instant Feedback on Exercises: Platforms like EarMaster use AI to provide immediate responses to ear training and sight-reading exercises. This interactive approach ensures learners understand their mistakes and make corrections in real-time.

Gamification: Many AI tools incorporate gamified elements to make learning music theory engaging. Students earn rewards or unlock levels as they master concepts, transforming a traditionally dry subject into an enjoyable experience.

AI-Assisted Practice Sessions

Practicing an instrument is essential for mastering it, but practicing effectively is a skill in itself. AI tools enhance practice sessions by providing structure and feedback.

Virtual Accompaniment: Some AI platforms allow learners to play alongside virtual orchestras or bands, offering a dynamic and immersive practice experience.

Error Detection: AI systems can identify specific errors, such as incorrect notes or timing issues, and offer suggestions for improvement. This level of precision was previously only available through human instructors.

Encouraging Consistency: Many apps send reminders and track streaks to encourage regular practice, fostering better habits among students.

Bridging the Gap for Self-Taught Musicians

Self-taught musicians often face challenges such as limited feedback and lack of structured learning. AI bridges this gap by providing resources previously accessible only through formal education.

Virtual Tutors: AI acts as a 24/7 tutor, available anytime for guidance and feedback. This empowers individuals who cannot afford traditional lessons.

Open Access to Resources: Many AI-powered tools offer a wealth of free or low-cost learning materials, making high-quality education accessible to a global audience.

Overcoming Isolation: AI platforms often include community features, enabling self-taught musicians to connect with peers and share progress, fostering a sense of belonging.

AI and Music Composition Education

For those interested in creating original music, AI is a powerful ally. Tools like AIVA (Artificial Intelligence Virtual Artist) and Amper Music assist learners in composing, arranging, and orchestrating music.

Guided Creativity: AI composition tools provide templates and suggestions, helping beginners experiment with musical ideas.

Real-Time Feedback: As users create, AI offers immediate feedback on harmony, structure, and balance, refining their skills as composers.

Expanding Possibilities: These tools encourage learners to think beyond traditional boundaries, experimenting with genres and styles they might not have considered otherwise.

Impact on Traditional Music Education

The rise of AI in music education has sparked debates about its impact on traditional teaching methods. While some fear that AI may replace human instructors, others argue that it serves as a complementary tool.

Enhanced Teacher Capabilities: AI helps teachers identify student weaknesses more efficiently, allowing for focused instruction during lessons.

Supplementing Classroom Learning: AI tools provide additional practice and resources outside the classroom, reinforcing concepts taught by instructors.

Expanding Reach: Traditional educators can use AI to offer remote lessons, reaching students who might otherwise lack access to quality instruction.

Challenges and Limitations

Despite its many advantages, AI in music education is not without challenges:

Lack of Emotional Connection: Unlike human instructors, AI cannot provide emotional support or mentorship, which are often critical to a student’s development.

Technical Barriers: Access to AI tools requires reliable internet and compatible devices, which may not be available to all learners.

Over-Reliance on Technology: There is a risk that students may become too dependent on AI, neglecting the creative and intuitive aspects of musicianship.

The Future of AI in Music Education

As AI technology continues to evolve, its role in music education will only expand. Emerging trends include:

AI-Powered Virtual Reality (VR): Combining AI with VR to create immersive learning environments where students can practice in simulated concert halls or interact with virtual bands.

Cross-Cultural Learning: AI can help learners explore global music traditions by providing culturally diverse lessons and resources.

Emotionally Intelligent AI: Future advancements may enable AI systems to recognize and respond to students’ emotional states, offering encouragement and adapting lessons accordingly.

In conclusion, AI is revolutionizing music education by making it more personalized, accessible, and engaging. While it cannot replace the human touch of a dedicated teacher, it serves as a powerful tool that complements traditional methods. As technology continues to advance, AI will undoubtedly play an even greater role in nurturing the next generation of musicians, democratizing access to knowledge, and fostering a love for music worldwide.

[aivoluptulicious]

Mature Latina who loves metal, industrial music and 90s shock rock

[princeizuku]

ai hoshino 🤝 taylor swift

being their world’s music industry fr

[neotechcreationsblog]

[moonsappho]

okay. to be so completely honest. taylor swift shut the fuck up challenge

[x-heesy]

„Fabricated Elegance“ by vojtek morsztyn 🖤

Artificial Intelligence in: Architecture, Industrial Design and Digital Arts 🎭

Vojtek Morsztyn is a creative designer who is combining traditional design with a new technology in the field of Industrial and Interior Design.

#Travelingwithoutmoving 🧭

#architecture #architecturephotography #architecturelovers #architectureporn #architecturedesign #architecturelover #architecturephoto #architecturedaily #architecture_hunter #architecturedetail #architecturephotos #architecturedose #architectureanddesign #architecturelife #architecturegram #architecturelove #architecturephotograpy #architectures #architectureinspiration #architecture_view #architektur #architekturfotografie #architekturfotograf #architektur_erleben #architekturliebe #architekturporn #architekturelovers #furniture #furnituredesign #furnituremaker #furnituredesigner #furnitureartist #furnituremanufacturer #furnituremodern #furnitureclassic #furnitureinterior #furniturerestoration #furnituremaking #möbel #møbel #möbeldesign #holzmöbel #möbelrenovering #møbeldesign #möbelliebe #möbelmanufaktur #designmöbel #vintagemöbel #möbelrestaurierung #möbelstück #möbelklassiker #möbelmitgeschichte #möbelaffär #designermöbel #interiordesign #design #homedecor #home #decor #interior #decoration #interiors #architecture #homedesign #luxury #style #designer #sofa #livingroom #art #inspiration #furnituredesign #mobilya #homesweethome #dekorasyon #kitchen #interiordesigner #modern #interiordecor #love

Fables & Fairytales - Deniz Kurtel Remix by N/a, Rosina 🎧

[mudwerks]

(via Music industry giants allege mass copyright violation by AI firms | Ars Technica)

Universal Music Group, Sony Music, and Warner Records have sued AI music-synthesis companies Udio and Suno for allegedly committing mass copyright infringement by using recordings owned by the labels to train music-generating AI models, reports Reuters. Udio and Suno can generate novel song recordings based on text-based descriptions of music (i.e., "a dubstep song about Linus Torvalds").

The lawsuits, filed in federal courts in New York and Massachusetts, claim that the AI companies' use of copyrighted material to train their systems could lead to AI-generated music that directly competes with and potentially devalues the work of human artists.

Like other generative AI models, both Udio and Suno (which we covered separately in April) rely on a broad selection of existing human-created artworks that teach a neural network the relationship between words in a written prompt and styles of music. The record labels correctly note that these companies have been deliberately vague about the sources of their training data.

[deepdreamnights]

Music Monday A Clash of Eras

Too many songs about love, not enough about the march of industry rolling into transhumanism.

Bang Hiss Roll was my attempt at creating a sort of "Industrial (Film) Techno" inspired by the kinds of "industry on the move" shorts. Later, an 80s remix happened, because no matter what tool I use, I'm still me.

[melinoelabs]

The Year? 1943.

The Place? The U.S. of A.

The nation's boogie-woogie darlings, the Ablumen Sisters, release their first song under Danow Music, the novelty classic Pop-Pop-Bagok! (the Chicken Gun).

Fun Fact: While it may be very subtle to modern ears, Pop-Pop-Bagok! was, in fact, a product jingle. Nowadays the industrial giants just send Imagine Dragons' licensing department a check, but back then if you wanted to sell Joe Q. Public and all the ships at sea on your latest gadget, you paid someone to write a song about it.

Marlona, Ruth & Abby Albumen broke hearts and sold America on everything from giving Jerry what-for to the fine products and services offered by Kleinheart Industries.

So Let's Do It!

(lyrics under the fold)

Lyrics:

Malona: Looks like the people need to know what we've got cooking, Ruth. Abby: Let's give 'em the pepper, Marlona! Ruth: Correct and very natural of you to say, Abraxandria! Let's do it! Ohhhhhhh- and they say nothing's new under the sun BUT! pop-pop-BA-GOK! that's the Chicken Gun Abby: Chicken Gun, new from Kleinheart Industries. Ask for it by name. The end of all things might as well be fun, Yeah! pop-pop-BA-GOK! goes the Chicken Gun OH! the bargain you stuck won't be undone Thus! pop-pop-BA-GOK! spake the Chicken Gun Malrona: Product not available in the states of Oklahoma, Utah, Bafflment, and East Virginia. This jingle constitutes a binding contract. As to explanation there won't be one, Still! Pop-pop-BAGOK! Goes the Chicken Gun! Ruth: Kleinheart Industries, we've solved the Hephastus enigma.

Chicken Gun was made with Suno.ai and edited afterward.

Multiple prompts, largely consisting of lyrics and song structure instructions.

[dearly]

DOJ press release

[bandzboy]

Why would they make him perform an AI song? TXT has a Beomgyu, he can make awesome songs.

They need to stop over-scheduling their artists instead of relying on AI to do extra work

the thing is... i think it was concept they made him do for his solo performance 😭 i'm pretty sure this was pitched by mnet themselves and hybe (who also loves ai) was like Okay Let's Do It 😃 which is just... absolutely insulting to me.

idk txt's stance on ai (idek remember if they ever mentioned ai covers on previous livestreams or weverse or stuff like that) but man if i was them i just think it's so weird how the company keep overworking me and then makes me participate in this ai slop run that is happening in kpop for a performance that just lacks depth amongst other things it's just truly weird

[kuze-kurtz]

Echi dell'inferno (filmato con immagini)

[versevault]

@killiankilljoy

[bluemoonperegrine]

Too much of a good? thing

This video seems like "old man yells at cloud" at first glance, but it's not. Rick isn't simply bashing anything new. He put a lot of thought into this video essay. The overview of how recording has evolved since the early 20th century is fascinating.

Enter corporations, computers, the internet, and now AI. 😬

One of my big takeaways is how the glut of new content, whether songs or art or articles and essays online, not only makes it difficult to find good, innovative stuff, but devalues everything.

It's $10/month to access anything you want in Spotify's enormous music library. Don't like a song you tapped on? Swipe. Swipe swipe swipe.

The same thing is happening with visual art, video, and soon publishing.

I have pessimistic thoughts about where all of this leads.

AI isn't destroying art. Capitalism is. It's not so much a race to the bottom, but drowning in a sea of inexpensive, mediocre choices.

[freddie-mercurys]

Ok so I watched the new The Night Comes Down video today and…

What the fuck was that 🤦‍♀️