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Spleeter VS Open NASA

Compare Spleeter VS Open NASA and see what are their differences

Spleeter logo Spleeter

Isolate vocals from any song using AI by Deezer

Open NASA logo Open NASA

NASA data, tools, and resources
  • Spleeter Landing page
    Landing page //
    2023-10-21
  • Open NASA Landing page
    Landing page //
    2023-10-15

Spleeter features and specs

  • High Performance
    Spleeter utilizes deep learning technologies to achieve high-quality separation of vocals and other musical elements, making it a powerful tool for audio processing tasks.
  • Open Source
    Being an open-source project, Spleeter is freely accessible and can be modified and improved by the community, fostering innovation and collaboration.
  • Ease of Use
    With pre-trained models and straightforward API, Spleeter is user-friendly, allowing users to quickly start separating audio without needing extensive background in machine learning.
  • Speed
    Spleeter is optimized for fast processing, enabling quick separation of tracks even on standard hardware, which is beneficial for users needing rapid results.
  • Community and Documentation
    The project has an active community and comprehensive documentation, offering support and resources to help users resolve issues and maximise the toolโ€™s potential.

Possible disadvantages of Spleeter

  • Resource Intensive
    Deep learning models require significant computational power, which means Spleeter can be demanding on system resources, especially for higher quality separations.
  • Quality Limitations
    Although it performs well, Spleeter might not always achieve perfect separation, and certain complex mixes may still present challenges, resulting in artifacts or quality loss.
  • File Size
    The pre-trained models and resulting files can be large, potentially requiring substantial storage space, which could be an issue for users with limited disk space.
  • Dependency Management
    Setting up Spleeter and ensuring all dependencies are correctly installed can be cumbersome, particularly for less technically-oriented users unfamiliar with Python environments.
  • Use Case Limitations
    Spleeter is specifically designed for source separation, meaning its utility is somewhat limited to this function and may not be suitable for users looking for a broader range of audio processing features.

Open NASA features and specs

  • Empowerment
    Open NASA encourages and empowers women to pursue careers in STEM fields by providing role models and success stories.
  • Visibility
    The platform increases visibility of women in NASA, showcasing their contributions and achievements in space exploration.
  • Inspiration
    By highlighting the journeys of women at NASA, the site serves as a source of inspiration for young girls and women considering STEM careers.
  • Educational Resource
    Offers educational content that can be used by teachers and students to learn more about the role of women in science and technology.

Possible disadvantages of Open NASA

  • Limited Audience
    The content might not reach a wide audience beyond those already interested in NASA or gender diversity in STEM.
  • Impact Measurement
    The direct impact of the site on increasing women participation in STEM fields can be difficult to measure objectively.
  • Content Depth
    Depending on user expectations, some may find the content not deep enough in terms of technical detail or personal stories.
  • Resource Intensive
    Maintenance and updating of the platform require continuous resources, which might be challenging for ensuring updated information.

Analysis of Spleeter

Overall verdict

  • Spleeter is generally considered a good tool for those needing to separate audio tracks into stems. Its ease of use, effectiveness, and free availability make it popular among musicians, producers, and audio engineers.

Why this product is good

  • Spleeter is an open-source music separation tool developed by Deezer that allows users to separate audio tracks into individual components like vocals and instruments. It is praised for its high separation quality and speed, leveraging deep learning techniques. The tool is user-friendly and can be easily accessed via a command-line interface or integrated into various audio processing workflows.

Recommended for

    Musicians, audio engineers, producers, and sound designers who require efficient audio separation for remixes, practice, or analysis purposes.

Spleeter videos

SPLEETER VS IZOTOPE RX7 (Which is the best DIY acapella tool?)

More videos:

  • Review - How-to Spleeter โ€” Split audio with Deezer's AI tool in 2019
  • Tutorial - How to Get the Stems of ANY Song || Installing & Using Spleeter
  • Demo - Sober
  • Demo - Wadani
  • Demo - pl

Open NASA videos

No Open NASA videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Spleeter and Open NASA)
Music
100 100%
0% 0
AI
76 76%
24% 24
Audio & Music
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Spleeter seems to be a lot more popular than Open NASA. While we know about 134 links to Spleeter, we've tracked only 1 mention of Open NASA. 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.

Spleeter mentions (134)

  • Guitar chord karaoke with Vamp, Chordino, and FFmpeg
    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 / 9 months ago
  • Synchronizing pong to music with constrained optimization
    Absolutely wonderful! > "We obtain these times from MIDI files, though in the future Iโ€™d 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 / about 1 year ago
  • Are stems a good way of making mashups
    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: almost 2 years ago
  • Big News!
    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: almost 2 years ago
  • Show HN: Free AI-based music demixing in the browser
    I tried to use it but I had some issues as others in the thread. I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal. [0] https://github.com/deezer/spleeter. - Source: Hacker News / about 2 years ago
View more

Open NASA mentions (1)

  • How can I stay motivated in school if I'm not 100% sure what path I want to take?
    I do think women have a harder row to hoe at NASA. But more women are working there than ever before and some in high-level positions. Here are a few women at NASA: https://women.nasa.gov/. Source: over 3 years ago

What are some alternatives?

When comparing Spleeter and Open NASA, you can also consider the following products

Moises - Separate audio tracks using state-of-the-art AI algorithm

Code NASA - 253 NASA open source software projects

VocalRemover.org - Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms

NASA Exoplanet Posters - Imagine visiting worlds outside our solar system

Vocal Extractor - Vocal Extractor- Karaoke Maker (iPhone) is an app that allows you to separate karaoke and vocals from a song or audio file.

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