LALAL.AI: AI-Powered Vocal Removal and Music Source Separation Service

LALAL.AI

Tags
Pricing model
Freemium
Upvote 0
LALAL.AI is an advanced service for vocal removal and music source separation, enabling users to isolate vocals, accompaniment, and a variety of instruments from any audio or video file through high-quality stem splitting driven by AI technology. Users can buy packages with varying minute allocations for file splitting and download complete stems. Additionally, the service provides an API for businesses to incorporate the technology into their projects.

Similar neural networks:

Freemium
Upvote 0
0
LALAL.AI is an advanced service for vocal removal and music source separation, enabling users to isolate vocals, accompaniment, and a variety of instruments from any audio or video file through high-quality stem splitting driven by AI technology. Users can buy packages with varying minute allocations for file splitting and download complete stems. Additionally, the service provides an API for businesses to incorporate the technology into their projects.
GitHub
Upvote 0
0
YuE is an open-source foundation model series crafted for music creation, focusing on converting lyrics into entire songs. It generates full tracks encompassing both vocal and instrumental components. The model accommodates various languages, genres, and vocal styles, making it a flexible tool for AI-driven songwriting. Additionally, YuE offers an inference mode that lets users create music in a style akin to a reference track. It supplies different model versions, including unique upsampling models for enhanced audio quality. Users can explore demos to experience its vocal performance and keep informed about continual improvements.
GitHub
Upvote 0
0
MusicLM is a model designed to create high-quality music from text descriptions. This tool employs a hierarchical sequence-to-sequence modeling approach, producing music at 24 kHz that maintains consistency over multiple minutes. It can tailor the generated music to both text and melody, enabling the transformation of whistled and hummed tunes into a style outlined in a text description. Moreover, the tool can produce music based on descriptions of paintings, various instruments, genres, musician experience levels, locations, and time periods. It is also capable of creating diverse versions of the same text prompt and semantic tokens.