Tracksy

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Free
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Tracksy is an AI-powered system that enables users to effortlessly compose their own distinctive and royalty-free music. It provides an array of track styles and genres, allowing users to listen to samples before embarking on their projects. Additionally, Tracksy offers functionalities to discard, save, and skip tracks. Its user-friendly interface allows individuals to craft and produce music without any previous experience.

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Paid
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Epidemic Sound's Soundmatch tool enables users to effortlessly discover the ideal soundtrack for their video projects. By leveraging AI, it detects the scenes within the video and produces appropriate keywords for a semantic search, providing recommendations that align with the visuals. Epidemic Sound's other recent product launches feature #Vibey playlists, YouTube ad blockers, and a music licensing model with pricing options.
Freemium
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AudioX is an AI-driven tool for audio creation that converts inputs like text, images, and videos into high-quality audio content. It includes features such as text-to-audio conversion, multi-modal input handling, and intelligent editing tools for various music genres. Creators, content producers, and enthusiasts can utilize AudioX to save time, discover new audio styles, and generate professional-grade audio without deep musical expertise, providing an efficient and accessible solution for diverse projects ranging from video content to game development.
Price Unknown / Product Not Launched Yet
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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.