Dadabots
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Pricing model
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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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LyricStudio is a songwriting assistant designed to help users craft songs from beginning to end. It offers endless intelligent suggestions tailored to the user's style and chosen topics, simplifying the process of finding rhymes. Additionally, it enables real-time collaboration and ensures the protection of the rights to the lyrics users produce.
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AI Jukebox, developed by enzostvs on Hugging Face Spaces, is a web-based tool for generating music from text descriptions. It allows users to create music by inputting prompts that define the genre, mood, and various musical elements, such as "80s pop track with bassy drums and synth." With the ability to choose the track's duration, style, and mood, AI Jukebox acts as a creative platform for crafting unique music pieces without requiring musical knowledge or instruments. This tool is especially beneficial for content creators, music lovers, or anyone interested in experimenting with music creation for entertainment, prototyping song ideas, or seeking inspiration for musical projects. Users might utilize it to quickly create background music for videos, games, or podcasts, explore different musical styles, or simply enjoy the music-making process through an intuitive AI interface.
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MuseNet, developed by OpenAI, is a sophisticated neural network capable of creating 4-minute musical pieces using 10 different instruments and blending styles ranging from country to Mozart to the Beatles. It operates with the same versatile unsupervised technology as GPT-2, a vast transformer model designed to forecast the next token in a sequence, applicable to both audio and text. The model learns from MIDI file data and can produce samples in a selected style by beginning with a prompt. It utilizes multiple embeddings, including positional, timing, and structural embeddings, to provide the model with additional context.