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Description

Explore the future of music-making with Donna, where the fusion of AI and creativity enables anyone to become a music creator. Whether you're a complete novice or an experienced musician, Donna effortlessly transforms your musical ideas into reality. At its core, Donna features groundbreaking AI technology that comprehends the nuances of diverse music styles, instruments, and vocal performances. This innovative system can generate entire tracks within moments, including lyrics and lifelike sound, tailored to the atmosphere you envision. Picture blending the dynamic beats of rap with the enchanting melodies of pop. Donna transcends conventional music categories, providing endless creative avenues. You don’t have to be a specialist in music theory or a skilled player to utilize its capabilities. If you have a concept, Donna equips you with everything needed to realize it. Now, the realm of music creation is open to all, nurturing a vibrant community of artists united by their love for creativity and innovation. Join the movement and unleash your potential with Donna!

Description

We are excited to unveil Jukebox, a cutting-edge neural network designed to create music, including basic vocalization, in diverse genres and artistic expressions as raw audio. Alongside the release of the model weights and code, we are offering a tool to help users explore the music samples generated by Jukebox. By inputting genre, artist, and lyrics, users can receive entirely new music pieces crafted from the ground up. Jukebox is capable of producing a vast array of musical and vocal styles, and it can also generalize to lyrics that were not part of the training dataset. The lyrics included here have been collaboratively crafted by researchers at OpenAI and a language model. When provided with lyrics from its training set, Jukebox generates songs that diverge significantly from the originals, showcasing its creative capabilities. Users can input a 12-second audio clip for Jukebox to build upon, with the final output reflecting a desired style. Our focus on music stems from a desire to advance the potential of generative models further. Utilizing a quantization-based approach called VQ-VAE, Jukebox’s autoencoder model effectively compresses audio into a discrete latent space, enabling innovative sound generation. As we continue to refine these technologies, we look forward to the creative possibilities that lie ahead.