The data science of music

Luminate | Entertainment Industry Data, Analytics & Insights

We are Luminate, the entertainment industry's preeminent data, analytics, and insights company, unleashing access to the most essential information across ...

Why Independent Musicians Need To Take Note of Music Data ...

With music data analytics, you can gain detailed insights into just who exactly your listeners are. This can help you build more accurate ...

Music Analytics by Viberate | Stats for the music industry

Get the most complete overview of an artist's performance, including channel-specific analytics and synthetic indicators for easy tracking and comparison.

How To Leverage Data Analytics To Understand Your Audience And ...

Data analytics provides insights into which songs, genres, or styles resonate most with the audience. Artists can use this information to inform ...

The Role of Analytics in Music Education: Tracking Student Progress

This data-driven approach allows for personalized instruction, improved student engagement, and ultimately, a more effective and rewarding music education ...

U Michigan Researchers Turn to Data Science to Understand Music

Understanding How the Brain Processes Music Through the Bach Trio Sonatas, which will use novel algorithms to analyze digitized performances of ...

Computer Science and Music with Concentration in Music ...

The computer science and music combined major with concentration in music technology focuses on the creative application of sound and music technologies.

How Data Science is changing the music industry - Viblo

Data Science is playing a crucial part in shaping the music industry's future. Several important areas of the music industry are being streamlined as a result ...

Data Science and Analytics Conference with Cem Mansur Held

Musical notes can also be data indicators," and underlined the connection Mansur made from music to data science, before giving the floor to Cem ...

How Data Science Influences Music Streaming Apps?

Data Science helps music companies to predict what the next big hit would be and about the next trends. Companies like Spotify, Apple Music, and ...

An Introduction to Music Industry Analytics - HyperTribe

In music industry analytics, demographic analysis is essentially a useful instrument. It helps you to target certain groups, better grasp your audience, and ...

Turning Sound Into Information: Warner Music Group's Kobi Abayomi

Kobi Abayomi, Warner Music Group. Kobi Abayomi is the senior vice president for data science at Warner Music Group, where he and his team enable ...

Soundcharts: Music Analytics Tool | Analyze All the Music Industry ...

Actionable music data. Soundcharts monitors social networks, streaming platforms, charts, playlists, and radio airplay data over 7 million artists.

Harmonizing with Data

Harmonizing with Data. Exploring music through data science. Skillful Starmie Jaden O'Brien, Matt Chin, Julia Beitel, Bella Besuud, and Clara Lee. 4/5/23 ...

Musicians join scientists to explore data through sound - PNAS

Figures. A composer and a materials scientist teamed up to sonify the structures of nanomaterials: they converted X-ray scattering data, such as that from a ...

The Use of Data Science in The Music Industry - Aural Exploits

Musicians and data scientists wondered about the relationship between music and data science. With technology making data easily accessible ...

CS + Music | Siebel School of Computing and Data Science | Illinois

Applies foundational concepts in computer science to the composition and analysis of symbolic music information. The course works with introductory computer ...

Interview Max Hilsdorf, Data Scientist, on AI in Music - Kill the DJ

"The creative potential of randomness is often underestimated" Data Scientist on AI in Music. A conversation with Max Hilsdorf, data scientist ...

Spotify's Success: How They Use Data and Analytics

By collecting and analyzing massive amounts of listener data (music taste, tracks, artists, albums) Spotify can identify emerging user trends in real-time.