Music AI

What does it mean to be a music artist or composer in the age of AI? How is generative AI transforming the world of music? Will AI enrich or impoverish our musical imaginations? Who will own AI generated music?? Multiple partners at Indiana University will join together for the second annual summit,?AlgoRhythms: The World of Music and AI. Join us as we delve into the profound impact of generative AI on the music landscape, and offer an immersive exploration, celebration, and contemplation of the evolving creative paradigm. Indiana University Jacobs School of Music Alain Barker Tristra Yeager Rock Paper Scissors, Inc. Music AI On Friday, March 28, 1:40-2:20 at the IU Innovates/Von Lee Building

Music AI has been named a Fast Company most innovative company! Thanks to our incredible team and community, Music AI and Moises continue to lead the way in enabling creative potential. ?? Read about the most innovative companies in music: https://lnkd.in/eyEyY9z9 #innovation #AI #music

Moises Live took center stage at #SXSW2025 with Qualcomm's CEO Cristiano R. Amon. Music AI's embedded SDK brings AI Smart Volume to creators and consumers by taking the stem separation loved by Moises’ fans to the Edge. Embedded AI delivers personalized experiences right to your fingertips! ?? #FutureOfAI #MusicTech #SXSW

Watch live at #SXSW2025 where Qualcomm's President and CEO shows how AI is transforming everyday experiences with applications like Moises Live, powered by Music AI's state-of-the-art embedded AI technology. ?? Watch here: https://lnkd.in/dX6TC4Mx ?? For those attending: Head to Ballroom D in the Austin Convention Center, 10 am CT! #AI #MusicAI Qualcomm

Our homepage widget quickly demonstrates six of our most popular AI audio products...?? Sound on! Try with your own song ?? www.music.ai #Ai #stemseparation #Audio

Great news for the Moises community! ?? We’re excited to announce our partnership with Groover, a platform that helps artists connect with top music curators, labels, and media professionals. Together, we’re bringing new opportunities for musicians to refine their sound with Moises and get heard on Groover. This collaboration is all about empowering musicians—whether through cutting-edge AI tools for practice and production or helping them share their music with the right audience. Check out the benefits here: moises.ai/groover #MoisesApp #Groover

Get the best lyric transcription by adding the Stem Separation Module to your workflow. One of the many benefits to Music AI's drag-and-drop platform is the ability to combine complimentary AI modules creating customized workflows. ?? Learn more and try it: https://lnkd.in/gxSSrGhw #Transcription #AI #AudioInnovation

Music AI continuously benchmarks performance of our AI models to achieve and maintain state-of-the-art performance. This study evaluating the transcription performance of?Music AI’s Lyric Transcription model, compared to OpenAI’s model (Whisper), found that Music AI outperformed OpenAI with a Word Error Rate that is 27.49% more accurate and a Character Error Rate that is 38% more accurate when paired with Music AI’s stem separation. The analysis includes the impact of running transcription on mixed audio tracks versus isolated vocal tracks and the benefits of incorporating stem separation. Combining complementary AI models like stem separation and lyric transcription from a single platform simplifies workflows and increases output quality. ?? Try for yourself: https://lnkd.in/gxSSrGhw #LyricTranscription #AI #AudioInnovation #MusicAI

How do you evaluate AI stem separation quality? 1. Signal to Distortion Ratio (SDR) 2. Subjective quality from experts Music AI outperforms competing solutions with an average SDR that is?15.8% higher?than its nearest competitor, demonstrating exceptional proficiency in extracting audio stems. While other solutions might struggle with complex audio mixes, our specialized architecture sets a new standard in stem isolation, particularly in music production and analysis. Up next, our subjective expert analysis ?? Music AI's models can separate 17+ music and vocal stems ?? Get a demo: https://music.ai/contact/ #AI #StemSeparation #Music

Si?n Geschwindt spoke with Music AI's CEO Geraldo Ramos about our AI-powered stem separation—a creative game-changer for musicians and audio professionals: "[Music AI's] developers train their machine learning algorithms on thousands of stems so that the AI can learn to recognise the unique frequencies and rhythms of each instrument. Over time, it gets better at identifying and separating these sounds from mixed audio, even when they overlap.?Once the AI isolates and removes an instrument, it fills in the space by reconstructing the remaining audio, smoothing over any gaps to make it sound seamless." #AudioInnovation #AI #stemseparation