Music & Audio Generation
47 AI tools in Music & Audio Generation, Discover the top AI tools of 2024 with the YP for AI Directory!
SONOS Ace
Experience every frequency with superior precision and clarity. Maximize your immersion with lossless streaming, spatial audio with dynamic head tracking, and world-class Active Noise Cancellation. Hear what’s going around you with Aware mode.
Sunoify
Transform your ideas, emotions, and images into personalized songs with Sunoify, your personal AI musician. Experience the magic of AI-generated music and unleash your creativity. Get started now!
SunoAI
Create personalized music compositions from text input with SunoAIText to Song. Convert your ideas into musical forms in just five minutes. Try it now!
LemonSpeak
Save time and improve discoverability with LemonSpeak. Get transcripts, diarized transcripts, summaries, SEO-optimized titles, show notes, and blog posts for your podcast episodes.
Birthday Song Maker
Looking for a unique way to celebrate birthdays? Use our birthday song maker to customize and create personalized birthday songs for your loved ones. Choose the name and style to make it special!
CallBud AI
The revolutionary app is designed to handle your appointment calls. No more fear of calling or time wasted on making phone calls for restaurant reservations, hairdresser appointments, or doctor visits. CallBud AI will make the calls for you.
Musico
Musico is an AI-driven software engine that generates music. It can react to gesture, movement, code or other sound
Musenet
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style by learning to predict the next token in hundreds of thousands of MIDI files. MuseNet uses the same general-purpose unsupervised technology as GPT-2, a large-scale transformer model trained to predict the next token in a sequence, whether audio or text.