WhatTheBeat

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Pricing model
Free
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The WhatTheBeat tool enables users to understand the meanings behind their favorite songs by artists like Drake, Eminem, A.R. Rahman, Justin Bieber, Michael Jackson, and Taylor Swift, through the use of artificial intelligence.

Similar neural networks:

Freemium
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Mubert is a tool for developers, brands, and creators to produce, design, and utilize royalty-free music. It provides services like Mubert Render, Mubert Studio, Mubert API, Mubert Play, and Mubert for Streamers, allowing users to generate, share, and enjoy music.
GitHub
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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.
GitHub
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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.