Artificial intelligence has already transformed the way that sound is generated, processed, and organized, both for audio professionals and ordinary consumers. Features such as stem separation, automatic transcription, and voice cloning services have helped deliver improvements in efficiency, accessibility, and customer satisfaction.
Recording companies are already managing their catalogs more effectively with smart metadata tagging from tools like Cyanite. Mixing and mastering has gotten faster and better than ever before with tools like RoEx. Artists are finding clever new ways to hone their craft with tools like our own Moises platform.
Historically, the majority of AI audio processing has happened on the cloud, with more than 70% of total market share being in that segment. Recently, however, the technology has arrived at a crucial turning point.
Read More. By Music AI
O1 Introduction: Trends in Artificial Intelligence and Audio Processing
- The Limits of Cloud-Based AI
- Two Sides of Edge AI: Embedded vs On-Device
- The Growing Embedded Market
- Considering a Hybrid Solution
02 Introducing Embedded AI-Powered Features
03 Why Music AI?
04 Use Cases: Stem Separation on the Edge
05 Predictions and Recommendations
Download the complete White Paper
If your team is interested in integrating stem separation or other AI audio features into your product, please contact our sales team. The goal of our SDK is to help make your product a success.
https://music.ai/contact/
Founded by Geraldo Ramos, Eddie Hsu, and Jardson Almeida, Music AI is a leader in AI-driven music and audio technology. With a team spanning across the USA, Brazil, and Europe, the company provides solutions through its B2B Music AI and B2C Moises platforms. Music AI's technologies are used by artists, producers, record labels, agencies, technology firms, hardware manufacturers, and developers. With over 50 million users, our technology processes more than 2.5 million minutes of audio every day.
