LALAL.AI
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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.
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Kits AI is a voice platform powered by artificial intelligence specifically designed for musicians to utilize and generate AI voices. It provides users with the ability to transform their voice using a selection of AI voices available from a range of either artist-licensed or royalty-free options. Users can also create and train their own AI voice through an effortless one-click RVC v2 model training process, and upload pre-existing .pth files to RVC v1 or v2 models. Music produced with voices from the commercial use library can be released without needing approval, while music using voices from the Official Artist Licensed Library requires the artist’s approval for commercial publication. During the early access beta phase, Kits AI is available for free.
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Cassette is an AI-driven music creation tool that allows users of any skill level to produce high-quality, royalty-free music tracks tailored to their specific needs and preferences. Built on a machine learning model based on latent diffusion (LDMs), it can envision beats using the text descriptions provided by users. Featuring an intuitive interface, users can enter various parameters such as desired genre, mood, length, and instrumentation, and CassetteAI will generate a full track from scratch. There is no ownership of the beats created by users, and the only limit to beat creation is the user's imagination.
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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.