Welcome to the discussion! We look forward to hearing your experiences of AI Music Generation and using RipX to make the most of it, adding human creativity to the mix.
Hey folks,
This type of capability is one of the main reasons I bought this software suite (that along with separating out stems on audio)..
I suspect that hitnmix will be able to custom train a generative model that does better than the big tech options by offering the customer base the option to help label in a reinforcement learning model.
I'm looking forward to playing around with the other sites like musiclm and riffusion but I would love to have a direct plugin in the ripx UI that allows a direct import and uses a few seconds of audio in the app as a prompt for the music generation model.
Let me know if you want to collaborate on such a thing.
@josharmour Thanks for your feedback. It’s great to hear about how our customers are using RipX.
Hey folks,
This type of capability is one of the main reasons I bought this software suite (that along with separating out stems on audio)..
I suspect that hitnmix will be able to custom train a generative model that does better than the big tech options by offering the customer base the option to help label in a reinforcement learning model.
I'm looking forward to playing around with the other sites like musiclm and riffusion but I would love to have a direct plugin in the ripx UI that allows a direct import and uses a few seconds of audio in the app as a prompt for the music generation model.
Let me know if you want to collaborate on such a thing.
ripX done changed the game homies
Hello,
I purchased RipX DAW Pro primarily for more convenient AI music production. I even imagined completing all tasks within RipX. However, even after completing two albums, RipX has mostly been useful for its Stem feature, with most of the rearrangement and mixing still being done in AU.
Now that both UDIO and SUNO have introduced official STEM features, I still need to continue learning how to better utilize RipX for song creation.
Here are a few suggestions:
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Automation Processing: RipX's manual editing is very powerful, but perhaps enhancing the automation processing features could be beneficial. For instance, I often encounter issues with vocal or instrumental segments from UDIO that have inconsistent volumes or soundstages. Currently, I manually draw volume envelopes for each track in AU. Automating this process in RipX would save a lot of time.
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Voice Track Cleaning: For the vocal tracks in stems, there are often many seemingly meaningless audio details. An automation feature to clean up these tracks would be helpful, where one could set the cleaning intensity to automatically produce cleaner vocal tracks.
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Remixing with UDIO: The REMIX function in UDIO is quite powerful. I've used it to generate slightly different versions of a vocal chorus, layering them to create a fuller chorus section. Similarly, this method could also be used to repair instrumental tracks. For instance, drum or bass tracks separated via STEMS are often unusable alone, but can be remixed through UDIO to regenerate new tracks. If RipX could adopt a similar approach to repair instrumental tracks with AI, and allow for more detailed customization based on the type of track being repaired, it would be extremely powerful. For example, adding complexity and tonal variation parameters for drum tracks, or pitch deviation parameters for vocal tracks, would be perfect.
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AI Generation: With many new AI music platforms like JENMUSIC.ai generating pure instrumental tracks, could RipX also consider providing options to generate specific instrumental tracks or even just segments of them? For example, selecting a section of a string track and having it auto-generate content in the gaps.
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Addressing Audio Artifacts: My recent AI music creations have been analyzed by friends who pointed out numerous issues with artifacts, soundstaging, and phase cancellation. Currently, I lack the ability to identify and resolve these issues, and I would appreciate more tutorials on fixing AI-generated music. Most people creating AI music, myself included, are not very knowledgeable about detailed audio processing. Personally, I would prefer to spend time thinking about how to create quality content rather than the frustrations of learning audio processing details.
These are a few suggestions I can think of for now. I hope RipX continues to improve.
@green Thanks for your feedback and suggestions. I've passed them on to our development team.
