Genx Notes

Author: Genx

  • 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.

  • Tell me how AI music can disrupt the music industry

    Tell me how AI music can disrupt the music industry

    AI music, also known as algorithmic or generative music, has the potential to disrupt the music industry in several ways. Here are some potential implications:

    1. New Creative Possibilities: AI music generation can create an unprecedented level of creative freedom, allowing artists to experiment with new sounds, styles, and collaborations. This could lead to innovative and diverse music that pushes the boundaries of traditional genres.
    2. Democratization of Music Creation: AI music tools can make music creation more accessible to people without extensive musical training or experience. This democratization can lead to a proliferation of new artists, sounds, and styles, potentially disrupting traditional industry gatekeepers.
    3. Compositional Assistance: AI can aid human composers in their creative process, automating tasks like chord progression suggestion, melody generation, or even entire track composition. This could lead to increased productivity and efficiency in music production.
    4. Royalty-Free Music: AI-generated music can be created without the need for human composers or performers, potentially reducing or eliminating royalties and performance rights fees. This could disrupt the traditional music licensing and royalties ecosystem.
    5. New Business Models: AI music can enable new business models, such as subscription-based services offering customized, AI-generated music for specific moods, activities, or environments. This could challenge traditional music streaming and sales models.
    6. Virtual Artists and Performers: AI-generated music can create virtual artists or performers that can perform, tour, and interact with fans, potentially blurring the lines between human and artificial creativity.
    7. Music Curation and Discovery: AI can analyze vast amounts of music data, identifying patterns and recommending music to listeners. This could disrupt traditional music curation methods, such as playlists and radio stations.
    8. Music Education and Training: AI-powered tools can provide personalized music lessons and training, potentially disrupting traditional music education institutions and methods.
    9. Music Therapy and Wellness: AI-generated music can be used in music therapy, creating personalized soundtracks for mental health, relaxation, or focus. This could lead to new opportunities for music in healthcare and wellness.
    10. Job Displacement: The increasing use of AI in music creation could potentially displace jobs in the music industry, such as composers, producers, and musicians, leading to significant changes in the industry’s workforce.

    However, it’s essential to note that AI music also raises important questions about:

    • Authorship and ownership of AI-generated music
    • The potential homogenization of music styles and loss of human creativity
    • The need for new regulatory frameworks to address AI-generated music
    • The impact on the value of human creativity and emotional connection in music

    As AI music continues to evolve, it’s crucial for the music industry to adapt and find ways to harness its potential while addressing the challenges and implications that come with it.

  • I have a Lofi hiphop beat, but it’s too clean. How can I make it sound like a Lofi hiphop beat?

    I have a Lofi hiphop beat, but it’s too clean. How can I make it sound like a Lofi hiphop beat?

    I totally get it! Lofi hip hop is all about that warm, fuzzy, and nostalgic vibe. To give your beat a more lofi hip hop feel, try these techniques to add some dirt and character:

    1. Add tape hiss: Use a tape hiss plugin or add a subtle noise floor to your track. This will give your beat a warm, analog feel.
    2. Distort the drums: Use a distortion pedal or plugin to add grit and crunch to your drums. This will help them sound more like they’re coming from an old cassette tape.
    3. Warm up the bass: Use a bass amp simulator or a warm EQ to give your bass a more vintage, rounded sound.
    4. Add vinyl crackle: Use a vinyl crackle plugin or add a subtle crackling noise to your track. This will give your beat a nostalgic, sampled-from-vinyl feel.
    5. Use nostalgic drum sounds: Replace your modern drum sounds with more retro-inspired ones. Think 808s, 909s, or sample-based drum kits.
    6. Add some warmth with tube saturation: Use a tube saturation plugin to add a warm, analog character to your sound.
    7. Experiment with bit-crushing: Use a bit-crusher plugin to reduce the bit depth and sample rate of your audio, giving it a more lofi, retro feel.
    8. Use a lofi hip hop drum pattern: Change up your drum pattern to something more laid-back and jazzy, with a focus on snares on the 2nd and 4th beats.
    9. Add some ambient pads: Use ambient pads or textures to add depth and atmosphere to your track. Think warm, fuzzy synth sounds.
    10. Limit and compress: Use a limiter and compressor to squash your dynamics and give your track a more cohesive, relaxed feel.
    11. Try a different drum processing chain: Experiment with different drum processing techniques, such as parallel compression, transient design, or using a drum buss compressor.
    12. Add some imperfections: Intentionally add some subtle imperfections, like timing errors or slight pitch variations, to give your track a more human, lofi feel.
    13. Use a different EQ approach: Focus on boosting the low end and high end, while cutting the midrange, to create a more warm and balanced sound.
    14. Add some ambiance with reverb: Use a plate or room reverb to add ambiance and depth to your track.
    15. Experiment with different sampling rates: Try rendering your track at different sampling rates, like 44.1 kHz or 48 kHz, to see if it gives you a more lofi sound.

    Remember, the key to creating a lofi hip hop sound is to experiment and find the right balance of warmth, grit, and character. Don’t be afraid to try new things and make mistakes – it’s all part of the process!

  • I want to arrange a song created by AI. What should I do?

    I want to arrange a song created by AI. What should I do?

    If you want to arrange a song created by AI, here are some steps to help you get started:

    1. Obtain the AI-generated song:
    Get the AI-generated song in a format that you can work with. This might be a MIDI file, a audio file (e.g., WAV, MP3), or even a notation file (e.g., MusicXML). If you have access to the AI model, you can generate the song yourself. Otherwise, you can search for online platforms or communities that share AI-generated music.

    2. Choose a DAW (Digital Audio Workstation):
    Select a music production software that you’re comfortable with. Popular DAWs include Ableton Live, FL Studio, Logic Pro, and Cubase. If you’re new to music production, you might want to start with a more user-friendly DAW like GarageBand or Reason.

    3. Import the AI-generated song:
    Import the AI-generated song into your chosen DAW. If you have a MIDI file, you can import it directly into your DAW. If you have an audio file, you might need to convert it to MIDI using a transcription tool or by manually recreating the melody and harmony.

    4. Analyze the song structure:
    Listen to the AI-generated song and analyze its structure, including the melody, harmony, rhythm, and form. Identify the song’s key elements, such as the chorus, verse, and bridge.

    5. Develop your arrangement:
    Using your DAW, start creating your arrangement by adding or modifying elements to enhance the song. You can:
    * Add or modify instrumental parts (e.g., drums, bass, guitars, keyboards).
    * Experiment with different harmonies and chord progressions.
    * Create a new melody or modify the existing one.
    * Add sound effects or percussion elements.
    * Adjust the song’s tempo, time signature, or key.

    6. Refine your arrangement:
    Iterate on your arrangement, making adjustments as needed. You might want to:
    * Experiment with different genres or styles.
    * Add or remove sections (e.g., intro, outro, interlude).
    * Adjust the song’s dynamics, balance, and mix.

    7. Finalize your arrangement:
    Once you’re satisfied with your arrangement, finalize the song by:
    * Mixing and mastering the track.
    * Creating a stereo mixdown.
    * Exporting the final song in a suitable format (e.g., WAV, MP3).

    Tips and variations:

    • Collaborate with other musicians or producers to bring new ideas to the table.
    • Use the AI-generated song as a starting point and create a completely new song inspired by it.
    • Experiment with different AI models or algorithms to generate new ideas.
    • Create a remix or a cover of the AI-generated song.

    Remember, the key to a great arrangement is to stay creative, experiment with different ideas, and have fun!

  • How can I create unique beats when using AI for beatmaking?

    How can I create unique beats when using AI for beatmaking?

    When using AI for beatmaking, consider the following points to create unique and personalized beats:

    1. Customize the settings of AI tools

    • Fine-tune the parameters of the AI tools you use to create sounds that suit your preferences.
    • Don’t just use presets as they are; it’s important to add your own arrangements.

    2. Combine other sound sources and samples

    • Try adding your own recorded sound sources or samples to the beats generated by AI.
    • Incorporating live performances or field recordings can help you achieve originality.

    3. Experiment with editing and effects

    • Further process the AI-created beats with editing and effects.
    • Utilize filters, distortion, reverb, and other techniques to achieve a unique sound.

    4. Focus on creating your own arrangements

    • While using AI-generated beats as a base, decide on the overall arrangement yourself.
    • You can showcase your individuality through the way you develop the song and incorporate breaks.

    5. Value your inspiration

    • AI is just a tool. Cherish your own sensibilities and ideas.
    • While being influenced by other artists, it’s important to pursue your own expression.

    The key to creating unique beats with AI is to utilize the technology while maintaining your own style. Experiment and create works that overflow with originality!

  • How can I create a unique style in beatmaking?

    How can I create a unique style in beatmaking?

    Here are some tips for creating a unique style in beatmaking:

    Sound Selection

    • Use unique samples instead of common drum samples
    • Incorporate self-recorded samples
    • Process and manipulate sounds to create original tones

    Rhythm Pattern Techniques

    • Avoid standard rhythm patterns and incorporate irregular rhythms
    • Utilize syncopation and polyrhythms
    • Effectively use tempo changes and rhythm switches

    Sound Placement and Arrangement

    • Avoid typical sound placement and aim for unexpected arrangements
    • Consider stereo imaging and balance when placing sounds
    • Experiment with the timing of sound appearances and disappearances

    Effective Use of Effects

    • Effectively use effects such as filters, delays, and reverbs
    • Fine-tune effect parameters to achieve a distinctive sound
    • Combine effects to create complex and deep sounds

    Incorporating Elements from Other Genres

    • Incorporate elements from other music genres to cross genre boundaries
    • Draw inspiration from ethnic music, classical music, and more
    • Analyze the characteristics of your favorite music and reflect them in your beats

    Use these tips as a reference and experiment with your own approach. Don’t be afraid to try new things and pursue your own originality. Keep exploring and developing your unique style.

  • What will the world of beatmaking look like after the advancement of AI?

    What will the world of beatmaking look like after the advancement of AI?

    As AI advances, the world of beatmaking is expected to undergo significant changes. Here are some potential transformations:

    AI-powered Automatic Beat Generation

    • AI will learn from vast amounts of beat data and become capable of automatically generating new beats
    • Producers will be able to create beats easily using AI, greatly improving production efficiency
    • By editing and arranging AI-generated beats, producers can create unique and distinctive beats

    Lowering the Entry Barrier for beatmaking

    • With AI-powered automatic beat generation, even those with limited musical knowledge or technical skills can start making beats
    • As more people enter the beatmaking scene, a more diverse music scene will emerge

    Intensified Competition Among Producers

    • As AI advances, the technical gap in beatmaking will narrow
    • Producers will be required to showcase their uniqueness and creativity, leading to increased competition
    • Effectively utilizing AI while valuing human sensibility will become crucial

    Emergence of New Music Genres

    • New beats generated by AI may inspire the birth of entirely new music genres
    • Innovative music will be created through collaborations between humans and AI

    While AI advancements will bring significant changes to the world of beatmaking, human creativity and sensibility will continue to play a vital role. The ability to create unique and captivating music while effectively leveraging AI will likely become an essential skill for producers in the future.

  • The Dangers of Distributing Free Music: Exploitation by Bad Actors

    The Dangers of Distributing Free Music: Exploitation by Bad Actors

    In recent years, distributing free music online has become increasingly common. For creators, it’s a fantastic opportunity to get their work out to a large audience. However, this distribution method comes with risks. If a bad actor appears, all the hard work put into the activity can be ruined.

    What is a Bad Actor?

    A bad actor is someone who misuses other people’s work or illegally copies and sells it for their own benefit. They exploit freely distributed music for their own profit.

    Damage Caused by Bad Actors

    1. Copyright Infringement: Bad actors may use free music for commercial purposes without permission or falsely claim it as their own work. This constitutes copyright infringement and can lead to legal issues.
    2. Loss of Revenue: If a bad actor illegally copies or sells free music, the revenue that should have gone to the creator is lost.
    3. Reputational Damage: A creator’s reputation may be harmed by the actions of bad actors. If information spreads about free music being exploited, trust in the creator may be lost.

    Countermeasures

    1. Clearly State Licenses: When distributing free music, clearly state the terms of use by specifying a license. This can help prevent misuse by bad actors.
    2. Monitor and Report: Monitor the activities of bad actors and promptly report any misuse discovered. Some platforms have violation reporting mechanisms in place.
    3. Community Power: Creators who distribute free music can work together and share information to counter bad actors.

    Distributing music for free has significant benefits for creators, but it also comes with risks. It’s important to recognize the existence of bad actors and take appropriate countermeasures. To create an environment where creators can distribute music with peace of mind, each and every one of us needs to raise awareness and take action.

  • [Beatmaker] When sending a stem file to a rapper, should I remove the effects applied to each track and the master track, or should I leave the effects on?

    [Beatmaker] When sending a stem file to a rapper, should I remove the effects applied to each track and the master track, or should I leave the effects on?

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    I’m a beatmaker. When sending a stem file to a rapper, should I remove the effects applied to each track and the master track, or should I leave the effects on?

    When sending stem files to a rapper as a beatmaker, here’s a general approach to handling effects on individual tracks and the master track:

    Effects on Individual Tracks

    • Generally, it’s recommended to keep the effects on individual tracks intact.
    • These effects are essential elements that make up the sound of your beat and showcase your production skills.
    • However, consider reducing or removing effects that might interfere with vocal recording, such as reverb or delay.

    Effects on the Master Track

    • It’s usually preferable to remove or minimize effects on the master track.
    • Since the mastering stage will involve applying effects again, there’s no need for master track effects at the stem file stage.
    • Discuss the handling of master track effects with the rapper through communication.

    Communication with the Rapper

    • When sending stem files, it’s advisable to discuss the treatment of effects on individual tracks and the master track with the rapper beforehand.
    • The rapper’s recording environment and mixing approach may influence how effects should be handled.
    • Respect each other’s opinions and collaborate to enhance the quality of the final product.

    In conclusion, it’s common practice to keep effects on individual tracks and remove or minimize effects on the master track. However, it’s crucial to be flexible and adapt based on communication with the rapper.