Genx Notes

Category: Making Beats

  • Making Beats with AI: Digging for the Coolest Sounds Like a DJ

    Making Beats with AI: Digging for the Coolest Sounds Like a DJ

    The advancement of AI has brought about significant changes in the world of music production. Particularly in the field of beatmaking, utilizing AI has enabled producers to generate sounds with endless possibilities, much like a DJ digging through records to find the perfect track.

    The Allure of AI beatmaking

    The greatest appeal of AI beatmaking lies in the process of exploration. Just as a DJ spends hours in a record shop searching for the best tracks, discovering unique sounds from countless possibilities brings joy when generating beats using AI.AI can create beats in various genres and styles based on vast databases. This allows producers to fully express their creativity while incorporating new ideas, resulting in the creation of highly original works.

    The Excitement of Trial and Error

    AI beatmaking is a continuous process of trial and error. Sometimes you may encounter unexpected sounds, while other times, the results may differ from what you had hoped for. However, this process itself stimulates creativity and provides new inspiration.Just as a DJ expands their musical horizons by encountering works from various genres and artists while digging for records, unexpected discoveries and encounters in AI beatmaking promote growth as a producer.

    Conclusion

    Making beats with AI is truly like a DJ’s journey in pursuit of the coolest sounds. By harnessing the power of AI and its infinite possibilities, why not experience the joy of creating your own original beats? It’s sure to open new doors in your music production journey.

  • Is There a Meaning to Beatmaking in an Era Where Any Music Can Be Created with Prompts?

    Is There a Meaning to Beatmaking in an Era Where Any Music Can Be Created with Prompts?

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    Is There a Meaning to Beatmaking in an Era Where Any Music Can Be Created with Prompts?

    Even in an era where music can be generated through prompts, beat-making still holds significant meaning and value. Here are several reasons why:

    1. Expression of Creativity and Individuality

    Beat-making is a means for artists to express their creativity and individuality. While AI-generated music is based on algorithms, music that reflects human sensibility, experience, and emotion has a unique charm.

    2. Improvement of Skills and Techniques

    Beat-making is an essential process for improving music production skills and techniques. Deepening knowledge in music theory, sound design, and mixing allows for the creation of higher-quality music.

    3. Community and Collaboration

    Beat-making promotes collaboration with other artists and producers. Working together towards a common goal can generate new ideas and inspiration, revitalizing the entire music scene.

    4. Emotion and Storytelling

    Music is a powerful means of conveying emotions. Through beat-making, you can embed your experiences and stories into your music, fostering deep empathy and connection with listeners.

    5. Personal Satisfaction and Achievement

    The process of creating beats yourself brings a great sense of achievement. The joy of creating music with your own hands is something special that AI-generated music cannot provide.

    6. Market Value and Differentiation

    In the music industry, having a unique sound and style is crucial. By creating your own music through beat-making, you can differentiate yourself from other artists and enhance your competitiveness in the market.

    Conclusion

    Even in an era where music can be generated through prompts, beat-making remains important. By leveraging technological advancements while valuing your own creativity and sensibility, you can create richer and more unique music.

  • When You Can Create Music by Writing Prompts, the Real Challenge Begins: Deciding What Music to Create Next

    When You Can Create Music by Writing Prompts, the Real Challenge Begins: Deciding What Music to Create Next

    The world of music production is undergoing a significant transformation with the advancement of technology. Particularly, the rise of AI tools that generate music based on simple prompts has made it possible for anyone to create music effortlessly. However, once you master the art of creating music through prompts, you face a new challenge: deciding what kind of music to create next. This article delves into this challenge and explores the essence of music production.

    The Appeal of Prompt-Based Music Creation

    First, let’s discuss the appeal of prompt-based music creation. A prompt is a simple instruction or keyword that you input, and the AI generates music based on that input. For example, you can input prompts like “relaxing piano music” or “energetic rock song,” and the AI will create music that matches those descriptions.

    The biggest appeal of this technology is that it significantly lowers the barrier to music production. Traditionally, creating music required skills in playing instruments and knowledge of composition, but with prompts, anyone can create music easily. This democratizes the joy of music creation, allowing more people to experience it.

    Why You Might Struggle with What to Create Next

    Once you can create music using prompts, you might struggle with deciding what kind of music to create next. This is akin to the “paradox of choice,” where having too many options makes it difficult to choose. In music production, the vast array of possibilities can be overwhelming, especially for beginners, and this abundance of choice can sometimes stifle creativity.

    Approaches to Overcome the Dilemma

    So, how can you avoid getting stuck when deciding what music to create next? Here are some approaches:

    1. Clarify Your Goals

    First, it’s crucial to set specific goals for what kind of music you want to create. For example, having clear objectives like “I want to create relaxing music” or “I want to make dance music” can make it easier to choose prompts. Clear goals also reduce uncertainty during the production process.

    2. Seek Inspiration

    Drawing inspiration from other artists’ works, natural sounds, or everyday events can also be effective. Inspiration can spark new ideas and help you see the direction for your next piece of music. To gather inspiration, consciously listen to music in your daily life or relax in nature.

    3. Embrace Trial and Error

    Music production is a process of trial and error. Instead of aiming for perfection from the start, try various prompts and see what works. By not fearing failure and experimenting, you’ll discover your style and preferences. This iterative process also helps improve your technical skills.

    4. Leverage Collaboration

    Collaborating with other artists or creators can also help you find the direction for your next piece of music. Incorporating different perspectives and ideas can lead to new and unique music that you might not have thought of on your own. Collaboration also offers opportunities to learn from others.

    The Essence of Music Production

    While prompt-based music creation is convenient and enjoyable, it’s essential not to forget the essence of music production. Music is a medium for conveying emotions and messages, creating a connection with listeners. Even when using prompts, it’s important to infuse your music with your emotions and messages.

    Music production is also a form of self-expression and an opportunity for self-reflection. Creating music with prompts allows you to express your inner self and discover new aspects of yourself.

    Conclusion

    Once you can create music using prompts, you face the new challenge of deciding what kind of music to create next. However, by clarifying your goals, seeking inspiration, embracing trial and error, and leveraging collaboration, you can overcome this dilemma.

    By staying true to the essence of music production and infusing your music with your emotions and messages, you can create music that resonates with listeners and offers a deeper musical experience. The possibilities of prompt-based music creation are limitless. Embrace these possibilities and create your unique music.

  • The Impact of AI on Music Production: Overcoming Technical Limitations

    The Impact of AI on Music Production: Overcoming Technical Limitations

    The world of music production has always evolved alongside technological advancements. From analog to digital, and now with the advent of AI (Artificial Intelligence), we are once again at the cusp of a significant transformation. AI enables the creation of music that was previously impossible due to technical constraints, opening up limitless possibilities for music production. However, this technological evolution also poses a new question for musicians: “What did I really want to achieve through music?”

    Overcoming Technical Limitations

    Historically, music production has been bound by numerous technical limitations. Complex orchestrations and advanced sound effects required specialized knowledge and expensive equipment. However, with the advancement of AI, these constraints are gradually being eliminated. AI can learn music theory and composition techniques, offering innovative ideas that humans might not conceive.

    By leveraging AI, composers can express their ideas more freely. For instance, AI can generate melodies and harmonies that serve as the foundation for new compositions. Additionally, AI can generate music in real-time, making it a powerful tool for improvisation and live performances.

    Democratization of Music Production

    The introduction of AI is democratizing music production. Techniques and knowledge that were once accessible only to professional musicians are now within reach of the general public. With AI, even those without formal training in music theory or composition can create music that reflects their unique sensibilities.

    For example, individuals can use AI-provided templates and samples to create their original tracks. AI can also automate various aspects of the music production process, significantly saving time and effort. This lowers the barriers to music creation, allowing more people to enjoy making music.

    Returning to the Essence of Music

    With technical constraints removed, musicians face a new question: “What did I really want to achieve through music?” Now that the technical barriers are gone, musicians need to confront their true purpose and intentions.

    Music is not merely a collection of techniques and skills. What matters is what you want to convey through music, the emotions, and messages you wish to express. With AI handling the technical aspects, musicians are encouraged to delve deeper into their inner selves and return to the essence of music.

    New Creative Possibilities

    AI’s introduction opens up infinite possibilities for music production. AI complements human creativity, providing new ideas and inspiration. For instance, AI-generated music patterns and rhythms can serve as the basis for creating new genres and styles of music.

    Moreover, AI excels at blending different cultures and musical styles. This capability can lead to the creation of innovative music that has never been heard before. By incorporating music from around the world, AI enables the creation of global music.

    Conclusion

    With the advancement of AI, the technical constraints of music production are gradually being lifted. This allows musicians to express their ideas more freely and lowers the barriers to music creation. However, with the removal of technical constraints, musicians must now confront the question, “What did I really want to achieve through music?” By returning to the essence of music and reflecting on their inner selves, musicians can create music with deeper meaning. AI supports this process and expands the possibilities for new creative endeavors.

  • When You Run Out of Beatmaking Ideas, It’s Time for AI to Step In

    When You Run Out of Beatmaking Ideas, It’s Time for AI to Step In

    Beatmaking is a field in music production that demands a high level of creativity. However, it’s common for anyone to experience a drought of ideas at times. In such situations, why not leverage the power of AI?

    Benefits of Using AI in Beatmaking

    1. Endless Inspiration: AI has a vast database, enabling it to generate beats in various genres and styles. This allows you to gain new ideas and expand your creative horizons.
    2. Time-Saving: Beatmaking requires a significant amount of time, but with AI, you can generate numerous beats in a short period. This drastically reduces the time you need to spend on production.
    3. Lowering Technical Barriers: Beatmaking requires a certain level of technical skill, but AI makes it easy for beginners to get started. You can use AI-generated beats as a foundation and add your own arrangements, gradually improving your skills.

    Practical Examples of Using AI in Beatmaking

    1. Generating Drum Patterns: You can use AI to generate drum patterns. By specifying conditions such as rhythm, tempo, and genre, AI can create patterns that match your requirements.
    2. Generating Basslines: Similar to drum patterns, you can also use AI to generate basslines. By specifying conditions such as genre and key, AI can create basslines that fit your needs.
    3. Generating Melodies: AI can also be used to generate melodies. By specifying conditions such as chord progressions and scales, AI can create melodies that match your criteria.
    4. Selecting Samples: AI can assist in selecting samples. It can find samples that match your specified conditions from a vast sample library.

    Precautions When Using AI in Beatmaking

    1. Copyright Issues: When using AI-generated beats, you need to be cautious about copyright issues. The data that AI learns from may include other people’s work.
    2. Originality Issues: AI-generated beats are ultimately created based on existing data. Therefore, they may lack originality. It’s crucial to add your own arrangements to the AI-generated beats.
    3. Sound Quality Issues: AI-generated beats may have low sound quality. Therefore, you need to adjust the sound quality using tools such as EQ and compressors.

    Conclusion

    Using AI in beatmaking can be a strong ally when you run out of ideas. It provides endless inspiration and saves time. Moreover, it lowers technical barriers, making it easy for beginners to get started.

    However, you need to be cautious about copyright, originality, and sound quality issues. It’s essential to add your own arrangements to the AI-generated beats.By effectively utilizing AI, the possibilities of beatmaking become infinite. So, don’t hesitate to leverage the power of AI and create new beats.

  • How can beatmakers effectively collaborate with AI systems to create unique sounds?

    How can beatmakers effectively collaborate with AI systems to create unique sounds?

    Beatmakers can effectively collaborate with AI systems to create unique sounds by following these strategies:

    1. Understand the capabilities and limitations of AI systems: Familiarize yourself with the strengths and weaknesses of AI algorithms, and use them to augment your creative process.
    2. Use AI as a idea generator: Feed AI systems with your favorite sounds, genres, or moods, and let them generate ideas for you. Then, refine and develop these ideas into unique sounds.
    3. Collaborate on sound design: Use AI algorithms to generate unique sound textures, timbres, or effects, and then manipulate and process them to fit your style.
    4. Experiment with AI-powered plugins and instruments: Utilize plugins like Amper Music, AIVA, or Endel to generate melodies, chord progressions, or drum patterns, and then incorporate them into your productions.
    5. Create custom AI models: Train your own AI models on your favorite sounds, genres, or styles, allowing the AI to learn from your creative vision.
    6. Human-in-the-loop approach: Use AI to generate ideas, and then refine them manually. This approach ensures that AI-generated ideas are filtered through your creative vision.
    7. Layer AI-generated elements with human instrumentation: Combine AI-generated sounds with live instrumentation or vocals to create a unique blend of electronic and organic elements.
    8. Push AI-generated sounds to extreme processing: Use AI-generated sounds as a starting point and then apply heavy processing techniques, such as distortion, reverb, or granular synthesis, to create unique textures.
    9. Use AI to generate rhythmic patterns: Utilize AI algorithms to create complex rhythmic patterns, and then use these patterns as inspiration for your drum programming or percussion.
    10. Explore AI-generated sounds in different contexts: Take AI-generated sounds out of their original context and use them in unexpected ways, such as using a melody generator to create a drum pattern.
    11. Create a feedback loop: Use AI-generated sounds as input for further AI processing, creating a feedback loop that can lead to unique and unexpected results.
    12. Document and learn from your process: Keep a record of your collaborations with AI systems, analyze what works and what doesn’t, and refine your approach over time.
    13. Set creative constraints: Limit the parameters of the AI system to encourage creative solutions within a specific framework.
    14. Use AI to generate sounds for specific moods or emotions: Utilize AI algorithms to create sounds that evoke specific emotions or moods, and then use these sounds to create music that resonates with your audience.
    15. Share your knowledge and learn from others: Collaborate with other producers, share your experiences, and learn from others who are also experimenting with AI-generated sounds.

    By embracing these strategies, beatmakers can effectively collaborate with AI systems to create unique sounds that blend the best of human creativity with the capabilities of artificial intelligence.

  • How can beatmakers adapt to the rise of AI-generated music?

    How can beatmakers adapt to the rise of AI-generated music?

    The rise of AI-generated music presents both opportunities and challenges for beatmakers. Here are some ways beatmakers can adapt to this changing landscape:

    1. Embrace AI as a tool: Instead of seeing AI-generated music as a replacement, consider it as a tool to augment your creativity. Use AI algorithms to generate ideas, experiment with new sounds, or even collaborate with AI systems to create unique sounds.
    2. Focus on what makes you human: AI-generated music may be able to mimic certain aspects of music production, but it lacks the emotional, personal, and creative nuances that a human beatmaker brings to the table. Focus on injecting your personality, experiences, and emotions into your music.
    3. Develop your skills: As AI-generated music becomes more prevalent, it’s essential to develop skills that are difficult to replicate with AI, such as:
      • Emotional connection and storytelling through music
      • Unique sound design and instrumentation
      • Live performance and improvisation
      • Human interaction and collaboration
    4. Niche down and specialize: With AI-generated music potentially flooding the market, find a specific niche or style that you can specialize in. This could be a particular genre, sound design, or even a specific mood or atmosphere.
    5. Create music that’s more than just a beat: Instead of just creating instrumentals, focus on creating music that tells a story, evokes emotions, or conveys a message. This adds a layer of depth and meaning that AI-generated music may struggle to replicate.
    6. Collaborate with other artists: Collaborations can lead to unique sounds and styles that AI-generated music may not be able to replicate. Work with vocalists, musicians, or other producers to create music that’s more than just a beat.
    7. Stay ahead of the curve: Keep up-to-date with the latest developments in AI-generated music and be prepared to adapt your strategies as the technology evolves.
    8. Focus on the human touch in music production: While AI can generate beats, it’s the human touch that brings music to life. Focus on the creative decisions, emotional nuances, and personal connections that make music relatable and impactful.
    9. Develop a strong brand and online presence: In a world where AI-generated music is becoming more accessible, it’s essential to establish a strong brand and online presence to differentiate yourself and attract clients or fans.
    10. Embrace the opportunity for new creative possibilities: AI-generated music can also open up new creative possibilities, such as using AI-generated sounds or patterns as inspiration or incorporating AI-generated elements into your music.

    By adapting to the rise of AI-generated music, beatmakers can not only survive but thrive in a rapidly changing music production landscape.

  • Understanding Stem Splitters and Artifacts

    Understanding Stem Splitters and Artifacts

    Stem splitters are AI-based tools that separate vocals, drums, bass, and other instruments from a song’s mix, resulting in individual stem tracks that can be used for remixing and sampling. However, the separation process is not perfect, and it’s common for the stems to have artifacts—unwanted noise or distortions.

    Artifacts can include audio degradation, frequency loss, and unnatural digital noise. These can diminish the sound quality of the stems, making them difficult to use in production. Artifacts are particularly noticeable in vocal stems, distracting listeners and breaking immersion.

    Adding Noise to Mask Artifacts

    One effective way to mask artifacts is by adding noise to the stems. This not only conceals the artifacts but can also be a creative technique to give the stems a lo-fi or grungy sound. By adding the right type and level of noise, you can blend the stems seamlessly into your beat and introduce a more organic, analog texture.

    Types of noise include white noise, pink noise, brown noise, vinyl crackle, and tape hiss. Each has different frequency characteristics, resulting in different masking effects and aesthetic qualities. For example, white noise covers all frequencies evenly, making it suitable for masking a wide range of artifacts. Pink noise, on the other hand, emphasizes lower frequencies, making it effective for masking vocal stems.

    How to Add Noise

    Noise can be generated using samplers, synthesizers, or noise generator plugins. Many DAWs have built-in tools for generating and adjusting noise. You can also load noise samples into an audio track and play them alongside your stems.

    It’s important to adjust the amount and balance of the noise. Too little noise won’t sufficiently mask the artifacts, while too much noise will obscure the clarity of the stems and muddy the overall mix. A good starting point is to add noise at a level of -12dB to -18dB relative to the volume of the stem, then fine-tune by ear.

    Equalization can also be used to match the frequency balance of the noise to the stem. For example, if a vocal stem has artifacts in the high frequencies, boosting the high frequencies of the noise can provide more effective masking. Conversely, cutting the low frequencies of the noise can help maintain the clarity of the vocals.

    Other Considerations

    While adding noise can help mask artifacts, it’s not a universal solution. If the quality of the stem is very poor, noise alone may not be sufficient. In these cases, it may need to be combined with other mixing techniques, such as EQ and dynamics processing. For example, cutting the frequency ranges that contain artifacts with an EQ before adding noise can yield a more natural result.

    Also, the addition of noise should be appropriate for the genre and mood of the track. In lo-fi hip hop or experimental electronica, noise can be a welcome creative element. However, in cleaner, more polished genres like pop or R&B, noise may be less desirable. Always consider the context and evaluate whether the noise fits the overall sound and vision of the track.

    Conclusion

    Stem splitters are powerful tools for beatmakers and producers, but artifacts are a common occurrence. Adding noise is an effective way to mask these unwanted byproducts and integrate the stems seamlessly into your beat. Experiment with different types of noise, such as white noise, pink noise, or vinyl crackle, to find what works best for the mood and genre of your track. Carefully adjust the level and balance of the noise while listening to your stems, and combine with other mixing techniques for even better results. Beyond just concealing artifacts, noise can also be a creative tool to add depth and texture to your beats. Experiment and find your own unique sound.

  • As AI Music Evolves Further, Will It Become Harder to Make a Living as a Musician?

    As AI Music Evolves Further, Will It Become Harder to Make a Living as a Musician?

    Indeed, with the rapid advancement of AI music generation technology, it’s natural to wonder about the implications on the music industry and the livelihood of musicians. Here are some points to consider:

    The rise of AI music generation:

    1. Increased efficiency: AI music generation can produce high-quality music at an unprecedented pace, making it potentially more cost-effective and efficient than traditional human composition.
    2. Unlimited creativity: AI algorithms can generate an immense variety of music, exploring new sounds, styles, and genres, which could lead to a proliferation of new music.

    Challenges for human musicians:

    1. Job displacement: With AI-generated music becoming more prevalent, some musicians might struggle to find work or maintain a steady income, as AI music could substitute human creation.
    2. Competition from AI music: Human musicians may face increased competition from AI-generated music, potentially leading to a decline in demand for human-created music.

    However, there are also reasons to be optimistic:

    1. Collaboration and hybrid approaches: AI-generated music can augment human creativity, freeing musicians to focus on higher-level creative decisions, such as concept, arrangement, and production.
    2. New opportunities and niches: AI music generation can open up new markets, such as custom music for advertising, video games, or virtual events, which human musicians could capitalize on.
    3. Emphasis on human emotional connection: While AI music can mimic certain aspects of human creativity, it may struggle to replicate the emotional depth, nuance, and personal connection that human musicians can bring to their work.

    The future of music creation:

    1. Hybrid human-AI collaboration: The most likely outcome is a collaboration between humans and AI, where AI handles tasks like melody generation, while humans focus on creative direction, arrangement, and emotional connection.
    2. New job opportunities: As AI-generated music becomes more prevalent, new roles may emerge, such as AI music curators, sound designers, or music experience designers.

    In conclusion, while AI music generation may disrupt the music industry, it’s unlikely to make human musicians obsolete. Instead, AI will likely augment human creativity, and new opportunities will emerge as a result of this technological advancements.

  • I made a beat with AI. What should i do with it?

    I made a beat with AI. What should i do with it?

    Congratulations on creating a beat with AI! That’s exciting! Now, let’s explore some ideas on what you can do with your AI-generated beat:

    1. Collaborate with an artist: Reach out to a rapper, singer, or musician who might be interested in working with your beat. You can offer it to them for free or discuss a collaboration deal.
    2. Upload it to music platforms: Share your beat on music streaming platforms like SoundCloud, YouTube Music, Audiomack, or BeatStars. This can help you gain exposure and attract potential collaborators.
    3. Sell it to a music producer or artist: Offer your beat for sale to producers or artists looking for new material. You can use online marketplaces like BeatStars, Airbit, or SoundClick to showcase your beat.
    4. Create a YouTube video: Upload a video featuring your beat, and add visuals like animations, lyrics, or music-inspired visuals. This can help you gain traction on YouTube and attract new listeners.
    5. Use it in a video project: If you have video editing skills, create a video showcasing your beat. You can use it as background music for a vlog, a short film, or a promotional video.
    6. Share it with music bloggers or influencers: Reach out to music bloggers, influencers, or tastemakers in your genre and share your beat with them. They might feature it on their platforms, exposing your work to a larger audience.
    7. Enter music production contests: Look for online contests or competitions where you can submit your beat. This can help you gain recognition, feedback, and potentially, new opportunities.
    8. Create a remix or a new version: Experiment with your beat, and create a remix or a new version with a different style or genre. This can help you develop your production skills and create more content.
    9. Use it as a demo: If you’re interested in pursuing a career as a music producer, use your AI-generated beat as a demo to showcase your skills to potential clients or collaborators.
    10. Keep creating and experimenting: Don’t stop at one beat! Continue exploring the capabilities of AI music generation, and experiment with different styles, genres, and techniques.

    Remember to always follow the terms of service and licensing agreements for any AI music generation tools you used to create your beat. Ensure you have the necessary rights to distribute and monetize your work.