Karaoke Tracks vs MusicLM

In the battle of Karaoke Tracks vs MusicLM, which AI Audio Generation tool comes out on top? We compare reviews, pricing, alternatives, upvotes, features, and more.

Between Karaoke Tracks and MusicLM, which one is superior?

Upon comparing Karaoke Tracks with MusicLM, which are both AI-powered audio generation tools, The upvote count is neck and neck for both Karaoke Tracks and MusicLM. Your vote matters! Help us decide the winner among aitools.fyi users by casting your vote.

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Karaoke Tracks

Karaoke Tracks

What is Karaoke Tracks?

Karaoke Tracks at x-minus.pro is a community karaoke library where you search, stream, and download backing tracks across genres and languages. The catalog lists more than 700,000 tracks, with collections for love songs, movie soundtracks, holiday themes, and dozens of other categories. Each track opens in a web player with on-page pitch and tempo controls.

Where commercial karaoke apps license a fixed catalog, Karaoke Tracks relies on community uploads, so you get regional songs, fan-made arrangements, and obscure titles that rarely appear on Smule or Singa. Track quality and metadata vary by uploader, which is the trade-off for breadth across languages and themes.

Registered users can upload their own backing tracks, build playlists, and browse recent uploads or the TOP 50 chart. The site also hosts separate browser tools for AI vocal removal with stem splitting options and a transpose page for changing pitch or tempo on any uploaded audio file.

MusicLM

MusicLM

What is MusicLM?

MusicLM is a Google Research audio generation model that creates music from text captions at 24 kHz. The public examples page hosts sample clips for prompts like arcade soundtracks, reggaeton-EDM fusions, and relaxing jazz, plus longer story-mode generations that shift styles across timed segments. Google released the MusicCaps dataset of 5,500 music-text pairs alongside the paper.

Unlike consumer apps that ship one prompt box, MusicLM was published as a research demo with pre-generated samples rather than a login product. Its headline trick is joint text-and-melody conditioning: you can hum or whistle a tune and have the model re-render it in a new genre described in text. Story mode chains multiple captions so the music evolves across sections.

MusicLM matters as the research foundation behind Google's later Lyria music models, but this page is for listening to published examples, not creating new tracks interactively. Researchers and musicians study it for long-form consistency, painting-to-music conditioning, and melody transfer results documented in the 2023 paper.

Karaoke Tracks Upvotes

6

MusicLM Upvotes

6

Karaoke Tracks Top Features

  • Browse a library of 700,000+ karaoke tracks sorted by genre, language, and themed collections

  • Change pitch and tempo in the web player with semitone and percentage sliders on every track

  • Upload your own backing tracks after signing in to share with the community

  • Remove vocals with an AI stem separator that splits drums, bass, guitar, vocals, and backing vocals

  • Transpose any uploaded audio file with a separate pitch and tempo tool in the browser

  • Organize favorites into playlists for practice sessions or live events

  • Track pages show file details such as 320 kbps MP3 quality and backing track type labels

MusicLM Top Features

  • Generates music at 24 kHz from rich text captions

  • Story mode chains multiple text prompts across timed segments

  • Text-and-melody conditioning transforms hummed or whistled tunes into new styles

  • Painting caption conditioning pairs artwork descriptions with generated audio

  • Long-generation examples cover melodic techno, swing, and relaxing jazz

  • MusicCaps dataset includes 5,500 expert-written music-text pairs

Karaoke Tracks Category

    Audio Generation

MusicLM Category

    Audio Generation

Karaoke Tracks Pricing Type

    Freemium

MusicLM Pricing Type

    Free

Karaoke Tracks Technologies Used

Webflow
Ruby

MusicLM Technologies Used

Bootstrap
jQuery
Google Cloud
Ruby
GitHub
Tailwind CSS

Karaoke Tracks Tags

Karaoke Library
Vocal Remover
Pitch Shifting
Backing Tracks
Stem Separation
Playlist Builder
Community Uploads

MusicLM Tags

Text to Music
Google Research
Melody Conditioning
MusicCaps Dataset
Research Demo
Long-Form Audio
AI Music
AI Voice
By Rishit