Tracksy

Riffusion is a groundbreaking music creation platform powered by AI, designed to help users create music from their imagination. Currently in its beta stage, the platform demonstrates its potential through four demo tracks that cover various genres, such as contemporary hip-hop infused with funk, indie pop with atmospheric elements, melodic trap, and French house with techno influences. The San Francisco-based company behind Riffusion is a well-funded startup that is actively enhancing its technology and recruiting musicians, AI researchers, and software engineers to further develop their creative AI tools.

Loudly is an AI-driven music creation platform that allows users to produce, customize, and explore music specifically suited to their needs. It offers the capability to instantly generate original, high-quality tracks, discover music through AI-driven suggestions, remix songs, and access a collection of royalty-free music and sounds adaptable for various projects. Content creators, startups, small and medium enterprises, filmmakers, and multimedia artists can utilize Loudly to enrich their digital projects with tailored soundtracks, streamline their creative processes, and make their content distinctive without concerns over copyright issues. The platform's user-friendly nature and ability to effortlessly create unique music make it a compelling option for anyone seeking to enhance their videos, applications, or other multimedia content with professional-grade audio.

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.