Amadeus Code
|
Tags
|
Pricing model
Upvote
0
Evoke Music is an AI-driven songwriting tool that offers endless inspiration, immediate melodies, and MIDI files for use in a DAW. It helps users overcome songwriting blocks and includes a 14-day trial for all features, with options for a monthly subscription or pay-as-you-go plan for saved songs and files.
Similar neural networks:
Upvote
0
0
Udio is a music creation platform that allows users to explore, craft, and share their unique music tracks. With a variety of recommended tags such as rock, electronic, pop, and more, individuals can compose their own lyrics or choose instrumental auto-generated tracks. This tool is ideal for budding musicians, enthusiasts, or anyone eager to express their musical creativity without requiring extensive music production knowledge. Users might be drawn to Udio to experiment with diverse genres, collaborate, uncover new music, or simply enjoy crafting and sharing their musical ideas with like-minded individuals. The platform also showcases trending tracks, staff selections, and provides the option to like and organize personal playlists, making it a versatile tool for both music creation and exploration.
Upvote
0
0
Cassette is an AI-driven music creation tool that allows users of any skill level to produce high-quality, royalty-free music tracks tailored to their specific needs and preferences. Built on a machine learning model based on latent diffusion (LDMs), it can envision beats using the text descriptions provided by users. Featuring an intuitive interface, users can enter various parameters such as desired genre, mood, length, and instrumentation, and CassetteAI will generate a full track from scratch. There is no ownership of the beats created by users, and the only limit to beat creation is the user's imagination.
Upvote
0
0
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.