
Spleeter
LALAL.AI
Moises
VocalRemover.org
Splitter.ai
PhonicMind
Acapella Extractor
DeMIX Essentials
OpenStack
Linode
DigitalOcean
Microsoft Azure
Amazon EC2
Vultr
Bluehost
Google Compute Engine
Spleeter
OpenStackMusicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.
OpenStack is particularly recommended for large enterprises, organizations with skilled IT teams, academic institutions, and service providers that need a highly customizable and scalable cloud solution. It's also a great fit for entities with specific compliance requirements or those that need to run a private cloud with tailored configurations.
Based on our record, Spleeter seems to be a lot more popular than OpenStack. While we know about 135 links to Spleeter, we've tracked only 2 mentions of OpenStack. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The category of tools leveraging AI for stem separation works best when you treat them like a utility, not a creative oracle. They are sophisticated pattern recognition systems, not mind-readers. I learned this the hard way. On one test, I tried splitting a heavily distorted guitar track layered with synths. The result sounded watery and thin. That wasnโt the tool failingโit was me expecting too much from a... - Source: dev.to / 8 months ago
Either creating stems from karaoke multitracks (e.g. [0]) or using Spleeter [1] 5-stem mode, probably [0] https://www.karaoke-version.com/ [1] https://github.com/deezer/spleeter. - Source: Hacker News / over 1 year ago
Absolutely wonderful! > "We obtain these times from MIDI files, though in the future Iโd like to explore more automated ways of extracting them from audio." Same here. In case it helps: I suspect a suitable option is (python libs) Spleeter (https://github.com/deezer/spleeter) for beat times. I haven't ventured into this yet though so I may be off. My ultimate goal is to be able to do it 'on the fly', i.e. In a... - Source: Hacker News / almost 2 years ago
Virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model. Source: over 2 years ago
I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/. Source: over 2 years ago
In my first post, I looked into what is OpenStack and how, if done right, can be quite a powerful ally in our cloud deployment strategies. In this post, I want to start looking at how we can create an application to learn the basics and components of the system. - Source: dev.to / over 5 years ago
While searching for solutions and documentation on the various problems I've come across, I would often see references to OpenStack and it got my curiosity going. What is OpenStack? What services does it offer and who owns it? How do I learn to use it? What are it's costs and limitations? - Source: dev.to / over 5 years ago
LALAL.AI - The #1 vocal remover, now a full audio toolkit โ separate stems, clean up voice recordings, change and clone voices, all in one place.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
Moises - Separate audio tracks using state-of-the-art AI algorithm
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
VocalRemover.org - Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.