Genx Notes

Category: AI Music

  • I’ve been mass-producing songs using AI to create albums, but it’s starting to wear me down. What do you think is the reason?

    I’ve been mass-producing songs using AI to create albums, but it’s starting to wear me down. What do you think is the reason?

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    I’ve been mass-producing songs using AI to create albums, but it’s starting to wear me down. What do you think is the reason?

    If you’ve been feeling drained from mass-producing songs using AI to create albums, there could be several reasons why:

    1. Lack of Creativity

    • Relying too heavily on AI reduces opportunities for you to express your own creativity.
    • In the songwriting process, AI is just one tool. It’s important to value your own ideas and sensibilities.

    2. Concerns About Homogenization

    • Songs mass-produced by AI tend to follow similar patterns.
    • This lack of diversity may bore listeners.

    3. Insufficient Sense of Accomplishment

    • Creating songs using AI makes it harder to feel the sense of accomplishment that comes from making something from scratch yourself.
    • Completing songs through your own power can provide a greater sense of fulfillment.

    4. Difficulty Conveying Emotions

    • Songs created by AI may not adequately reflect your emotions and experiences.
    • It’s important to express the feelings you truly want to convey in your own words.

    AI is a convenient tool, but it’s crucial to use it in a balanced way while valuing your own sensibilities. Don’t overdo it, and enjoy the music production process at your own pace.

  • AI has made it easy to mass-produce beats. So what kind of genre or concept would you use to create songs and albums? That is the question.

    AI has made it easy to mass-produce beats. So what kind of genre or concept would you use to create songs and albums? That is the question.

    In recent years, the use of AI in music production has rapidly advanced, particularly in the field of beat-making. With AI, producers can now easily generate beats in large quantities, allowing for more efficient music creation than ever before.

    However, simply being able to mass-produce beats with AI does not necessarily result in good songs or albums. The crucial question is: what genres and concepts will be used to create the music?

    The Importance of Genre Selection

    When using AI to create beats, the first thing to consider is the genre. There are various genres such as hip-hop, R&B, electronica, and rock, but it’s essential to choose a genre that you excel in or one that aligns with the worldview you want to express.

    Once you’ve decided on a genre, it’s important to understand its characteristics and teach the AI to learn those features. For example, with hip-hop, you need to teach the AI about kick and snare rhythm patterns and how to create basslines that are specific to the genre.

    Establishing a Concept

    Next, establish a concept for the song or album. A concept is the theme or message you want to express through your music. For example, “the loneliness felt amidst the hustle and bustle of the city” or “the beauty of nature and human activity.” It’s crucial to have a specific image in mind.

    By setting a concept, the direction of your music-making becomes clear, and the beats generated by the AI will align with that concept. Additionally, selecting songs based on a central concept will give your album a sense of cohesion.

    Pursuing Originality

    In an era where AI can mass-produce beats, originality becomes more important than ever. Instead of using AI-generated beats as-is, adding your own arrangements or combining them with other sound sources can create a unique sound that stands out.

    Moreover, it’s possible to use AI to create entirely new genres and styles. Rather than being confined to existing genre frameworks, the collaboration between AI and human creativity can explore new possibilities in music.

    Conclusion

    The ability to mass-produce beats with AI has dramatically increased the efficiency of music production. However, to create truly valuable music, genre selection, concept establishment, and the pursuit of originality are essential.

    AI is ultimately a tool, and how it is used depends on the human behind it. While leveraging the power of AI, pursuing one’s own expression is the approach that will be required of music producers going forward.

    Creating your own unique music while utilizing AI – this is the new way of music production that we must explore. The revolution of AI-generated beats has only just begun.

  • The Evolution of AI Beat Generation and the Changing Role of Humans

    The Evolution of AI Beat Generation and the Changing Role of Humans

    In recent years, the use of AI in music production has been rapidly advancing. Particularly in genres like hip-hop and electronic dance music (EDM), using AI to generate beats has become increasingly common. As AI capabilities improve, the role of AI in beat creation is undergoing a significant change.

    In the past, AI was used as a tool to create beats from scratch. However, currently, AI is taking on the role of generating a large number of beats, from which humans select the most appropriate ones. This shift is due to the tremendous improvement in AI capabilities, enabling it to generate high-quality beats in large quantities.

    Benefits of AI Beat Generation

    There are several advantages to AI beat generation. Firstly, AI can work 24/7 without breaks, allowing it to generate a vast number of beats in a short time. Additionally, AI can analyze past hit songs and learn from their patterns to generate beats that align with current trends.

    Moreover, AI also plays a role in stimulating human creativity. The beats generated by AI may include unique patterns that humans might not have thought of. These beats can serve as a new source of inspiration for human producers.

    The Changing Role of Humans

    As AI takes center stage in beat generation, the role of humans is also evolving. Humans are now tasked with selecting beats that fit the concept of the song and the artist’s individuality from the pool of AI-generated beats. This work requires musical sensibility and experience.

    Furthermore, humans play a crucial role in editing and arranging the AI-generated beats. The beats created by AI may lack refinement in their raw form. Human producers fine-tune the beats and combine them with other musical elements to create polished, high-quality songs.

    Collaboration Between AI and Humans

    Even in an era where AI is at the forefront of beat generation, the role of humans is by no means diminished. Rather, the collaboration between AI and humans enables more efficient production of higher-quality music. A division of roles is being established, with AI generating a large number of beats and humans selecting and editing the most suitable ones.

    This collaborative model can be applied not only to music production but also to other creative fields. The flow of AI generating a vast array of ideas and humans choosing the best ones from among them can be utilized in areas such as design, art, and literature.

    Conclusion

    The advancement of AI has significantly changed the way beats are created. AI has taken on the role of generating a large number of beats, while humans are responsible for selecting and editing the most appropriate ones. This collaborative model is expected to contribute to the increased efficiency and quality of music production.

    However, even as the use of AI advances, the importance of human creativity and sensibility will never be lost. AI is a tool that complements human creativity, and it is through the collaboration of humans and AI that better music is born. As the nature of collaboration between AI and humans continues to evolve, new possibilities for music will undoubtedly be unlocked. The future holds exciting prospects for the continued evolution of AI and human collaboration, opening up new frontiers in music creation.

  • Beatmaking in the AI Era: The Importance of Beat Arrangers

    Beatmaking in the AI Era: The Importance of Beat Arrangers

    The world of music production is undergoing significant changes due to the advancement of AI. Particularly in genres like hip-hop and electronic music, AI is being actively utilized in beatmaking. However, just because AI can create beats doesn’t mean that human roles will become obsolete. In fact, in the coming AI era, the existence of beat arrangers may become more important than beatmakers.

    Current State of AI Beatmaking

    Currently, numerous tools that use AI to create beats are emerging. These tools analyze vast amounts of data, learn patterns, and can generate original beats. The beats created by AI are of comparable quality to those made by humans, and the production time can be significantly reduced.

    The Role of Beat Arrangers

    However, the beats created by AI are merely “raw materials.” In music production, what’s important is how these materials are combined and arranged. This is where the role of beat arrangers comes into play.

    Beat arrangers skillfully edit the beats generated by AI and optimize them to fit the composition of the song. Rather than simply repeating loops, they vary the beats according to each part of the song, such as the intro, verse, chorus, bridge, and outro, adding musical ups and downs. They also consider the balance with other instruments and vocals, producing the overall sound.

    Human Creativity

    Even with the development of AI beatmaking, human creativity remains essential. Beat arrangers utilize their own musical sense and experience to create unique arrangements that AI cannot imitate. Through communication with artists, they understand the worldview and message of the song and can express it through music.

    Conclusion

    In the AI era of beatmaking, the existence of beat arrangers is indispensable. By editing and arranging AI-generated beats with human creativity, more refined musical works will be born. In addition to skills as a beatmaker, developing abilities as an arranger will be a crucial factor in the future music production scene.

  • Why You Can’t Go Back Once You Start Making Beats with AI

    Why You Can’t Go Back Once You Start Making Beats with AI

    In the world of music production, the use of AI is rapidly expanding. Particularly in beat-making, more and more people are being captivated by the convenience and possibilities that AI brings. However, once you start making beats with AI, many find it difficult to return to the old manual methods. Let’s explore the reasons behind this.

    1. Increased Efficiency

    Making beats with AI is significantly more efficient compared to manual work. Since ideas can be instantly brought to life, the speed of production increases dramatically. Once you experience this convenience, it becomes challenging to go back to the tediousness of manual work.

    2. Endless Possibilities

    AI has a vast database, which stimulates the user’s creativity. Many producers are fascinated by AI’s ability to propose patterns and sounds that humans alone might not think of. When faced with these endless possibilities, creating beats using only your own resources may feel inadequate.

    3. Learning and Growth

    By utilizing AI, you can also enhance your musical knowledge and skills. Analyzing the beats proposed by AI and arranging them in your own way leads to new discoveries and learning experiences. After going through this process of learning and growth, you may find it unsatisfying to create beats without AI.

    4. The Joy of Collaboration

    Making beats with AI can be seen as a kind of collaboration. The fusion of your ideas and AI’s suggestions can lead to unexpectedly interesting results. Once you experience the joy of this human-AI collaboration, working alone might feel boring.

    Of course, this doesn’t mean that all producers should rely on AI. The value of making beats manually will never be lost. However, it’s true that many people find it difficult to return to their original production style after experiencing the convenience and possibilities of AI. Whether to start making beats with AI or not is a decision that each producer must make by confronting their own style, but there is a significant possibility of being captivated by its charm.

  • Individuality Shines Through in the New Style of Composing with Prompts

    Individuality Shines Through in the New Style of Composing with Prompts

    In recent years, a new style of composition has been gaining attention, where composers write prompts to generate musical output. In this method, the composer provides prompts (instructions) to an AI, which then generates music based on those prompts. At first glance, it might seem like the composer’s individuality could be lost in this process.

    However, in reality, the composer’s individuality is strongly reflected in the process of writing the prompts. The choice of prompts, the words used, and the desired musical qualities all reveal the composer’s own sensibilities, aesthetic preferences, and thoughts about music.

    For example, one composer might write a prompt like “create a melancholic piano ballad expressing the pain of unrequited love,” while another might write, “compose an energetic hard rock piece that excites the listener.” The content of the prompts is unique to each composer, reflecting their individual style.

    Individuality in Evaluating the Output

    When composing music by writing prompts, the composer’s individuality also shows in how they evaluate the AI-generated output. Some composers might use the AI-generated music as-is, while others might treat the AI’s output merely as a reference and add their own arrangements to it.

    Moreover, the quality standards that composers demand from the output also vary. Some composers might seek perfection in the AI-generated music, while others might prioritize originality and freshness, even if the output is a bit rough around the edges.

    These differences in evaluation criteria clearly reflect the composer’s individuality. What kind of music they consider ideal and what kind of expression they aim for are influenced by each composer’s values and aesthetics.

    Individuality in the Relationship Between Prompts and Output

    When composing music by writing prompts, it’s also worth noting the relationship between the prompts and the output. Some composers might emphasize providing detailed prompts and having the AI faithfully follow them. In contrast, others might intentionally keep the prompts abstract, allowing more room for the AI’s creativity.

    The perceived distance between the prompts and the output also reflects the composer’s individuality. How they choose to collaborate with the AI, how much they leave up to the AI, and at what point they inject their own sensibilities—these judgments vary from composer to composer.

    Conclusion

    Even in the new style of composing music by writing prompts, the composer’s individuality is fully expressed. The content of the prompts, the evaluation criteria for the output, and the relationship between the prompts and the output all reflect each composer’s unique sensibilities, aesthetic preferences, and thoughts about music.

    Therefore, when venturing into this prompt-based composing style, it’s essential to cherish your own individuality. Collaborate effectively with the AI while pursuing your unique expression. By doing so, you’ll create one-of-a-kind music filled with your personal touch.

  • The Importance of Marketing Remains Unchanged in the Era of AI-Assisted Music Production

    The Importance of Marketing Remains Unchanged in the Era of AI-Assisted Music Production

    In recent years, the remarkable development of artificial intelligence (AI) has significantly lowered the barriers to music production. Particularly, even non-musicians can now easily create music using AI, bringing about a significant change in the music industry. However, just because music production has become easier with AI, it doesn’t mean that your music will automatically reach a large audience. The importance of marketing remains unchanged even today.

    The Current State of AI-Assisted Music Production

    Currently, there are numerous music production tools that utilize AI. With these tools, users can easily create melodies and chord progressions without any knowledge of music theory. There are also services that automatically compose music, allowing users to obtain original songs by simply specifying the genre and mood.It is true that the development of AI has greatly lowered the hurdles to music production. However, this doesn’t mean that anyone can easily achieve success.

    The Importance of Marketing

    Precisely because music production has become easier, more people than ever are creating music. As a result, the music market has become saturated, making it difficult for individuals to get their music heard.This is where marketing becomes crucial. No matter how good your music is, if you don’t effectively promote it, no one will listen to it. You need to utilize various methods to spread your music, such as leveraging social media, performing live, and getting featured in media outlets.

    Pursuing Originality and Quality

    While AI has made music production easier, there are concerns about the decline in originality and quality. Songs created by AI tend to resemble existing songs, making it difficult to showcase one’s individuality.Therefore, it is essential to incorporate your own ideas while utilizing AI and pursue originality. It is also important not to rely too heavily on AI and to create high-quality music while valuing your own sensibilities.

    Conclusion

    It is true that the development of AI has lowered the barriers to music production. However, this doesn’t mean that anyone can easily achieve success. The importance of marketing remains unchanged even today. Incorporating your own ideas, pursuing originality and quality, and conducting effective promotion are the keys to succeeding in music.

    Utilizing AI is a powerful tool in music production. However, it alone is not enough. The approach required in the current music scene is to effectively use AI while valuing your own uniqueness and putting effort into marketing.

    AI can be a great asset in music production, but it is not a magic wand that guarantees success. By combining AI with your own creativity, focusing on quality, and investing in effective marketing strategies, you can increase your chances of standing out in today’s crowded music landscape. Remember, while AI has made music creation more accessible, it is still up to you to put in the work and make your voice heard.

  • Creating an Album Using AI is Like a DJ Curating the Perfect Playlist

    Creating an Album Using AI is Like a DJ Curating the Perfect Playlist

    The world of music is constantly evolving. With advancements in technology, the methods of music production have also undergone significant changes. The advent of AI (artificial intelligence) has revolutionized music production. Creating music using AI and producing an album is akin to a DJ curating the perfect playlist. In this article, we will delve into this process and its allure.

    The Fusion of AI and Music Production

    AI excels at analyzing vast amounts of data and identifying patterns. By leveraging this capability, AI can play a significant role in music production. For instance, AI can analyze data from past hit songs to learn what melodies and rhythms resonate with audiences. As a result, AI can autonomously generate new music.

    DJ Curation and AI Music Generation

    When DJs create playlists for clubs or events, they read the crowd’s reactions and atmosphere to select the best tracks. This is a highly skilled process based on experience and intuition. Similarly, AI can generate optimal music by analyzing extensive data. However, the crucial point here is that humans select and decide whether to include AI-generated tracks in an album, much like a DJ curates a playlist.

    Selecting AI-Generated Tracks

    Not all AI-generated tracks are perfect. Some may not resonate with listeners or fit the album’s concept. This is where the human role becomes essential. Just as DJs sift through numerous tracks to find the best ones, artists and producers select AI-generated tracks to decide which ones to include in the album.

    A New Approach to Album Production

    Using AI for music production introduces a new approach to album creation. Traditionally, artists had to manually craft each track. However, with AI, it is possible to produce many tracks in a short period. By selecting the best tracks from these, artists can create high-quality albums.

    Collaboration Between AI and Humans

    While AI plays a crucial role in music production, human creativity is indispensable. Artists can take AI-generated tracks and add arrangements or lyrics to create more unique and captivating music. This process is similar to a DJ remixing selected tracks. The collaboration between AI and humans expands the possibilities of music production infinitely.

    Conclusion

    Creating music using AI and producing an album is akin to a DJ curating the perfect playlist. By selecting and deciding which AI-generated tracks to include in an album, high-quality music is born. The fusion of AI’s data analysis capabilities and human creativity results in unprecedented new music. The future of music production will become richer and more diverse through the cooperation of AI and humans. As music fans, we can look forward to the exciting developments in the music scene.

  • Letting Go of Perfectionism: Smart Use of Generative AI Tools

    Letting Go of Perfectionism: Smart Use of Generative AI Tools

    In recent years, generative AI tools like Suno and Udio have gained significant attention in the music production industry. These tools are incredibly convenient for creators, allowing them to generate high-quality music in a short amount of time. However, the pursuit of perfection can lead to repeated attempts and excessive use of credits, which can be counterproductive. This article explores the importance of letting go of perfectionism and how it impacts mental health, physical health, and spending habits.

    The Trap of Perfectionism

    Impact on Mental Health

    Perfectionism often leads to stress and anxiety as one constantly strives for the best possible outcome. When using generative AI tools, repeated attempts can lower self-esteem and result in a lack of satisfaction. Over time, this can make the creative process itself feel burdensome and less enjoyable.

    Impact on Physical Health

    Poor mental health can also affect physical health. Stress and anxiety can lead to sleep deprivation, loss of appetite, and even a weakened immune system. When using generative AI tools, it’s crucial to take adequate breaks and avoid overexertion.

    Impact on Spending Habits

    Generative AI tools often operate on a credit system, and repeated attempts can lead to unnecessary consumption of credits. This can become a financial burden, affecting other important expenditures. Seeking perfection at the cost of increased spending is counterproductive.

    Tips for Letting Go of Perfectionism

    1. Set Clear Goals

    First, clarify what you want to achieve. Instead of striving for a perfect piece, set realistic goals to reduce unnecessary retries.

    2. Celebrate Small Successes

    Building self-esteem through small successes is essential. Even if the work created with generative AI tools isn’t perfect, find the good points and celebrate them.

    3. Set Limits

    When using generative AI tools, set limits on the number of retries and the amount of credits used. This helps prevent unnecessary consumption and allows for more efficient work.

    4. Take Breaks

    Taking adequate breaks helps maintain mental and physical health. Continuing to work in a tired state can reduce efficiency and lead to more retries.

    Conclusion

    Generative AI tools are incredibly useful, but falling into the trap of perfectionism can negatively impact mental health, physical health, and spending habits. By letting go of perfectionism, setting realistic goals, celebrating small successes, and taking adequate breaks, you can continue a healthier creative process. Use generative AI tools wisely to prevent unnecessary consumption and enjoy the music production process.

  • The Rise of Generative AI Tools: Demo Singers Are No Longer Needed in Music Recording

    The Rise of Generative AI Tools: Demo Singers Are No Longer Needed in Music Recording

    The music industry has always evolved with technological advancements. Recently, generative AI tools like Suno and Udio have gained significant attention. These tools have the potential to drastically simplify and streamline the music production process. As a result, the role of demo singers (also known as scratch vocalists) has become redundant. In this article, we will explore why this is the case.

    The Evolution of Generative AI Tools

    Generative AI tools utilize artificial intelligence to create music and vocals. Suno and Udio are prime examples, offering features such as:

    • Automated Composition: AI generates melodies and chord progressions.
    • Voice Synthesis: AI mimics human voices to perform singing.
    • Real-Time Editing: Allows for real-time music editing and adjustments.

    These tools support the entire music production process, from the initial stages to the final product, significantly reducing the workload for producers and composers.

    The Changing Role of Demo Singers

    Traditionally, demo singers played a crucial role in the early stages of music production by recording demo tracks. However, with the advent of generative AI tools, this role has undergone a significant transformation. Here are the reasons why demo singers are no longer necessary:

    • Cost Reduction: Hiring demo singers is no longer required, allowing budgets to be allocated elsewhere.
    • Time Efficiency: Creating demo tracks can be done quickly, drastically shortening production schedules.
    • Flexibility: Various styles and vocal qualities can be easily experimented with, increasing creative freedom.

    Benefits of Generative AI Tools

    The advantages of generative AI tools are numerous:

    • High-Quality Voice Synthesis: AI can replicate human voices with remarkable realism.
    • 24/7 Availability: AI can work around the clock, enabling music production anytime, anywhere.
    • Consistency: AI provides consistent performance, eliminating quality variations.

    The Future of Demo Singers

    With the rise of generative AI tools, the role of demo singers has significantly changed. In the future, demo singers may take on new roles such as:

    • Providing Training Data for AI: Using their voices as training data for AI models.
    • Creative Direction: Offering feedback and direction on AI-generated music.
    • Live Performances: Excelling in live performance areas where AI still falls short.

    Conclusion

    The rise of generative AI tools has rendered the role of demo singers in music recording obsolete. AI offers high-quality voice synthesis, cost savings, time efficiency, and increased flexibility. Demo singers will need to find new roles to maintain their presence in the music industry. Embracing technological advancements while adapting to new roles will lead to further growth and innovation in the music industry.