Cassette AI
|
Tags
|
Pricing model
Upvote
0
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.
Similar neural networks:
0
Neutone Morpho is a real-time tone morphing plugin that utilizes machine learning technology to convert any audio input into novel and distinctive sounds by employing the attributes of pre-trained AI models. Musicians, producers, and sound designers may find Neutone Morpho useful for enhancing their creative workflow, introducing unique audio textures into their projects, or exploring sound design with an innovative tool capable of producing unexpected and inspiring results.
0
Audialab's Emergent Drums is an AI-driven tool crafted to produce a limitless variety of unique, royalty-free drum samples for music producers and sound designers. This tool allows users to seamlessly create new and inspiring drum sounds customized to their exact requirements, thus eliminating the tediousness of conventional drum sampling. It's especially beneficial for individuals aiming to quickly grow their sound library with original material, sidestep legal complications related to copyright, and preserve a creative advantage in music production.
0
Martinic's AI Synth is an innovative tool providing users with access to the world's first AI-coded musical instrument, featuring DSP code generated by ChatGPT delivered to them at no cost. Additionally, the AI Synth offers a 50% discount on the AX73 synthesizer, which remains manually programmed. The AI Synth plugin is open-source, available on GitHub, and can be bought through multiple payment methods.