Loudly
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Pricing model
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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.
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DADABOTS is a fusion of a music group, a hackathon team, and a temporary research lab that merges music with mathematics. They employ deep learning algorithms such as Wavenets, NSynth, and SampleRNN to develop an AI capable of generating and replicating music. Their primary interest lies in math rock and black metal genres. They investigate techniques to model musical styles, produce music with specific timbres, and develop a legion of remix bots. They aim to expand the limits to sustain music's vitality and uncover fresh sounds.
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eMastered is a web-based mastering tool that leverages artificial intelligence to aid musicians in enhancing their track's audio quality. It offers a variety of capabilities, including Reference Mastering, Advanced Mastering Options, Cloud Storage, a Shareable Library Page, Track Statistics, among others. Additionally, it provides a 14-day money-back guarantee, ensuring an affordable and dependable solution for fast and simple track mastering.
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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.