Mubert
Mubert allows users to create soundtracks that match the mood, duration, and tempo of their content quickly and efficiently
AI | AudioRiffusion
Neural network that generates audio (short music clips) based on text-prompts, also able to generate (sung or spoken) lyrics
Stable Audio
Creates custom-length music using audio diffusion models based on user text descriptions.
Moûsai
Diffusion model that can generate multiple minutes of high-quality stereo music at 48kHz from textual descriptions
JEN-1
JEN-1 performs various generation tasks including text-guided music generation, music inpainting, and continuation.
Make-An-Audio
Text-to-audio generation tool using diffusion models and spectrogram autoencoder for high fidelity audio generation
Noise2Music
Uses diffusion models to generate music clips from text prompts, reflecting genre, tempo, and mood
Music LM (Google)
MusicLM by Google Research is a model that generates high-fidelity music from text descriptions. It approaches conditional music generation as a hierarchical sequence-to-sequence modeling task, producing music that remains consistent over several minutes and adheres closely to the given text description
MusicGen (META)
MusicGen is an advanced single language model (LM) for conditional music generation. It creates music based on text descriptions or melodies.
Suno AI
Suno is a research-driven AI company. Our mission is to redefine how people interact with music by removing the barriers to creating beautiful songs, and to enable everyone to bring the captivating music from your imagination to life.