Songburst
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Pricing model
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Songburst is an advanced AI-driven music creation tool accessible to all. It enables users to produce music for their digital projects like videos and podcasts, craft samples for personal mixes, or distribute their tracks on platforms like Spotify and Apple Music. By simply describing the desired sound, users can transform their words into music with the help of AI, which will generate a unique track. Additionally, the Songburst Prompt Enhancer can be used to enrich prompts, and users can download their songs as wav or mp3 files without restrictions.
Similar neural networks:
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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.
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Synthesizer V is an innovative music creation tool leveraging a deep neural network-based synthesis engine to produce remarkably realistic singing voices. It features customizable AI pitch generation, unlimited tracks, no core restrictions, VST3/AU plugin compatibility, ASIO support for Windows, Jack support for Linux, Cross-Lingual Synthesis, AI Retakes, Isolated Aspiration Output, Vocal Modes, Tone Shift parameter, Microtonal Adjustment, MIDI keyboard support, a metronome, and Lua/Javascript scripting. This appears to be a groundbreaking tool.
(You will need to translate the page from Japanese to your preferred language)
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Replicate and MusicGen are tools that enable users to generate music from text through machine learning models. Replicate offers a platform for developing models with minimal coding requirements, whereas MusicGen is a model created by Facebook Research, trained on 20,000 hours of licensed music.