WE LAUNCH THE FIRST PRODUCTION TRAINING

Advanced Music Production Course with Artificial Intelligence

Join the musical revolution of the future!

**Who Are We?**On this website we aim to be the educational vanguard in the world of music production. With years of experience teaching music, we are proud to present our most innovative course to date.

**What Will You Learn?**This course offers a total immersion into music production using the latest artificial intelligence tools. You will learn:

-Generate and manipulate audio With AI.

-Use leading tools such as Uno AI, Udio and Moises AI.

-Integrate AI technologies with Ableton Live to create complex and unique musical compositions.

Prior Experience It is not necessary to have prior experience in artificial intelligence, although it is recommended to have basic knowledge of music production to get the most out of the course.

**Who is it for?**This course is designed for:

-Music producers who want to expand their skills.

-Composers interested in exploring new technologies.

-Sound engineers who seek to be at the forefront of audio.

-Any music enthusiast eager to learn about the future of music production.

Mode

-Online: Access theoretical and practical content through our digital platform, with modules that you can complete at your own pace.

• Weekly Master Classes: Every find is em ana, participate in live sessions to make music and networking, led by professionals in the sector.

Course Features

-Total duration: 2 hours of content segmented into short and practical modules.

-Includes interactive exercises and access to AI software.

-Direct feedback from experts and collaboration opportunities.

**Don’t miss the opportunity to be at the forefront of music!**Register now and transform your way of creating music with artificial intelligence.

100% Professional

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📸 Fotograma Específico de Referencia (Fotograma 1)

Fuente y Atribución: Captura de pantalla técnica extraída en el minuto exacto del tutorial educativo por Laidback Luke / Pioneer DJ.

• Detalle Técnico: Demostración de cálculo armónico entre claves 8A y 9A sin choques tonales.
• Ver Vídeo Completo: Ver instante exacto en YouTube

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Introduction to the Course (Duration: 5 minutes)

-Welcome and Course Objectives: Brief introduction to the course and what to expect at the end.

• Icebreaker: Share a quick and fun anecdote about how Con IA music is changing the musical landscape, perhaps using the example of an acidtechno flamenco song for Mother’s Day.

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🎛️ Equipamiento Técnico & Cadena Analógica en Estudio (Imagen 2)

Estación de secuenciación dawless con AKAI MPC 1000 y sintetizadores analógicos en acción.

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Module 1: Fundamentals of Music Production With AI (Duration: 20 minutes)

-What is a Prompt?: Explanation with visual and auditory examples.

-From Text to Music: Demonstration of how to generate a melody from text.

-From Text to Audio: Creation of atmospheric effects.

-From Audio to Audio: Transformation and modification of an existing audio file.

-Devoza Audio:How to watch you run a recording of voice and music or sound effects.

-Practical Activity: Students will create their first prompt and generate a short audio clip.

Module 2: Essential AI Tools in Music Production (Duration: 45 minutes)

suno AI

• Features and Benefits: Delve into the unique functionalities of an AI.

-Practical Tutorial: Create custom samples and develop theme ideas.

Udio

-Comparison with AI: Strong points of each tool.

-Guided Practice:Experiment with specific Udioparaffins.

Moses IA

-Maximize Your Profit: Tips and tricks for more efficient production.

-Singing Voice Generation:Practical demonstration using recordings and samples.

Module 3: Advanced Applications with Ableton Live (Duration: 30 minutes)

-AI and Ableton Live Integration: How to import and manage AI-generated audio files in Ableton.

-Advanced Editing and Management: Techniques to edit and improve AI audio.

-Creating a Complete Musical Piece: Step-by-step to assemble a musical piece from scratch using all the tools mentioned.

Conclusion and Additional Resources (Duration: 10 minutes)

-Course Recap: Summary of what was learned and how to apply it.

-Staying Ahead: How to continue learning and exploring new AI tools in music.

-Live Q&A: Space for students to ask questions and clarify doubts.

Additional Elements to Enrich the Course

-Special Guests: Include segments with music professionals who are using these tools in their daily work.

-Real-time feedback: Use quick survey tools to obtain feedback on student understanding.

-creative challenges: Propose tasks where students must use their Creativity and the tools they have learned to create unique pieces.

By designing the course with these modules and details, you will not only educate your students in the latest AI music production techniques, but you will also provide them with a hands-on and entertaining learning experience.

Course content:

From Ritmoa Music

IBMWatson Beat:IBMWatson Beat is an advanced technology that can understand and compose music based on moods and styles. Use rhythms and other elements to create unique compositions. Although its public access is limited, demos are available online.

-Web:There is no specific page for Watson Beat, but you can find more information bus can do\IBMWatson Beat\on You Tube for demonstrations.

From Narrative to Music

Amper Music: Amper is an AI-powered music composition tool that allows users to create music from simple narratives and descriptions. The platform offers the possibility of personalizing the music according to the style and emotion that the text suggests.

-Web:Amper Music

Adaptive Musical Interaction

Google Magenta: Google project that seeks to make artificial intelligence accessible to artists and musicians through tools that help create music. It includes projects like \AIDuet, which musically responds to user input in real time.

-Web:Magenta

From Environment to Music

Nature Sound Map: Although it is not an AI tool, it is an interesting resource that collects sounds from natural environments around the world. AI composers could use these sounds as a basis for creating ambient music.

-Web:Nature Sound Map

Automated Cultural Fusion

Experiments with Google “AIDuet: Although AIDuet focuses more on piano-AI interaction, it can be adapted to explore the fusion of different musical styles through real-time input, allowing users to interact with musical styles from different cultures.

-Web:AIDuet

Innovations in Musical Production with Artificial Intelligence

Artificial intelligence is revolutionizing the field of music production through a variety of innovative techniques that enable new ways of creating and manipulating sound. Some of these techniques are described below along with examples of tools and projects, as well as academic references for those interested in exploring further.

From Ritmoa Music

IBM Watson Beat is an example of how AI can use beats to create unique musical compositions. Although IBM has not published specific papers on Watson Beat, related research can be found at conferences such as ISMIR (International Society for Music Information Retrieval).

From Narrative to Music

Amper Music allows users to create music based on textual descriptions. This approach combines automatic composition and natural language processing, areas widely explored in academic literature although without specific Amper papers.

Adaptive Musical Interaction

Google Magenta is low on projects like \AIDuet, which facilitates real-time interaction between humans and AI systems in music creation. A key reference of this project is:

-Engel, J.,etal.(2017).Neural Audio Synthesis of Musical Notes with Wave Net Autoencoders.24th ACMSIGKDD.Link to paper.

From Environment to Music

Although Nature Sound Map does not use AI, the sonification of natural environments is closely related. The literature on sonification can be useful in understanding how AI could be implemented to convert any two environments into music.

Automated Cultural Fusion

Experiments with Google “AIDuet show how AI can adapt and merge musical styles in real time. For a more technical understanding of these capabilities, the following resource is recommended:

-Briot, J.-P., etal.(2020).Deep Learning Techniquesfor Music Generation“ASurvey.Computational Intelligenceand Neuroscience.Link to the paper.

For those interested in a deeper exploration of how artificial intelligence is transforming music production, it is recommended to review specialized conference proceedings such as ISMIR, NIME, and the IEEE conferences on Artificial Intelligence and Creativity. These forums present the cutting edge of research and development in the field of music and technology.

Most of the AI-assisted music tools and projects I mentioned are commercial or experimental developments that may not have academic papers directly associated with them. However, some of these projects are based on technologies and methodologies that have been explored in academic literature. Below, I provide some references and resources that you can consult for more technical and theoretical information related to these technologies: ### From Rhythm to Music - IBM Watson Beat There is no specific paper for IBM Watson Beat, but you can research more about machine learning algorithms and music in papers on artificial intelligence in music in general, such as those published in conferences such as ISMIR (International Society for Music Information Retrieval).

From Narrative to Music - Amper Music Similar to Watson Beat, Amper Music is a commercial development and does not publish papers specific to its technology. To understand the underlying technology, you can search for literature related to automatic composition and natural language processing applied to music.

Adaptive Musical Interaction-Google Magenta Google’s Magenta project has published several articles about its research. A relevant example is:Engel, J.,Resnick, C.,Roberts, A.,Dieleman, S.,Norouzi, M.,Eck, D.,&Simonyan, K.(2017).Neural Audio Synthesis of Musical Noteswith Wave Net Autoencoders.24th ACMSIGKDDInternational Conferenceon Knowledge Discovery&Data Mining.https://arxiv.org/abs/1704.01279

From Ambience to Music - Nature Sound Map Although Nature Sound Map is not based on AI, the sonification of environmental data is a relevant field of study. You can search for papers on sonification in academic databases such as IEEE X or Google Scholar.

Automated Cultural Fusion - Experiments with Google “AIDuet AIDuet has no specific roles, but the use of neural networks in music can be studied in literature on deep learning applied to music. A useful resource is: Briot, J.-P., Hadjeres, G., & Pachet, F. (2020). Deep Learning Techniques for Music Generation“ASurvey.Computational Intelligenceand Neuroscience.https://www.hindawi.com/journals/cin/2020/4876391/ For more in-depth research, I would recommend checking out conference proceedings specializing in music technology and machine learning, such as ISMIR, NIME (New Interfaces for Musical Expression), and IEEE conferences on Artificial Intelligence and Creativity.

Sound is the bridge between chaos and harmony. Use the hardware to your advantage.—Ander B

Do you want your next track to sound in the big leagues? More than 500 tracks produced at MPCEstudio BCN. Book an online or in-person session at our studio in L’Hospitalety and elevate your Sound to the mainstream standard.

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🚀Take your Sound to the Next Level

Are you looking for a professional sound, analog mix or exclusive instrumentals? At MPCEstudio Barcelona we work with the best hardware in the industry so that your music competes in the big leagues.

👉Contact us via Whats App to book your session or request a custom pr es up or this.

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📸 Demostración Práctica en Pantalla (Fotograma 3)

Captura de Referencia: Explicación técnica de procesado extraída del canal de autoridad Waves Audio / Pensado’s Place. Calibración del medidor de sonoridad para sesiones de club y streaming.

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