MediaMined™ is a cloud-based engine for indexing and searching sounds based on sound recognition and similarity. Powered by digital signal processing and machine learning, MediaMined enables computers to listen to and understand sound.
There is currently no good way of searching through massive collections of sound, music, or media. Searching via text or manually-entered metadata is time-consuming, laborious, and uninspiring. MediaMined Discover adds fun and inspiration, thereby increasing the value, consumption, and monetization of existing audio collections. Musicians find the loops, sounds and grooves they are seeking quickly and creatively. MediaMined Discover allows content creators, owners, and consumers a radically better way of interacting with content.
Discover enables a simple, intuitive workflow: "find me examples that sound like this." Musicians and engineers repeat this process—layering up musical phrases, loops, or samples that are rhythmically similar to what they hear in their mind—a process that is natural, fast, enjoyable, and intuitive.
"MediaMined: Jay LeBoeuf's Search Engine for Sounds"
From Bloomburg Businessweek
"MediaMined: Audio search software indexes sounds"
From San Francisco Chronicle
"How do you teach computers to recognize and classify sound?"
From BBC World/Click
From National Science Foundation
"Interview with Jay LeBoeuf"
"New Artificial Intelligence Tool Can Understand Sound"
"Breaking the Search Engine Sound Barrier"
From Jump Start UK
"In Search of Sound with MediaMined"
"Interview with Imagine Research CEO Jay LeBoeuf"
From Modulate This
"Searching, Analyzing, and Recommending Audio Content"
From AES E-Library