Research Fellows Directory
Professor Mark Sandler FIET, FAES, FIEEE, FBCS, CEng
Queen Mary, University of London
From my PhD research on, I have been active in the research space where music signal processing overlaps with the needs of users, believing that digital technology has the power to democratise creativity and creative content. Over the last 15 years, this has led me to work where technologies for music intersect with the Internet: from error-resilient audio streaming to music informatics. These days my focus is on the crossover between signal processing and the semantic web. My team today investigates how to bring the AI power of the Semantic Web to the music recording studio, helping professionals work more efficiently and creatively. We think of this as the Internet of Musical Things. By capturing content-derived metadata in the studio we can then bring fun, interesting and new interactions with music to the consumer. Working with commercial, massive music collections of 10s of millions of tracks also takes us into Music Big Data. The technologies we investigate also promise to undermine music piracy and to bring benefit to the whole music production/consumption value chain. So imagine this: your 16 year old likes Mark Ronson and discovers that Stevie Wonder played harmonica on his 2015 album Uptown Special. So she next listens to Stevie’s 70’s Innervisions album. Your semantic music service suggests listening next to the album by Tonto’s Expanding Headband, his synthesiser programmers. From there, she discovers Switched On Bach using the sounds-like function and the world of Bach’s Cantatas opens up to her. Music pleasure with education.
Interests and expertise (Subject groups)