Music technology for Wellness, Mood and Activity
MUSIC FOR BETTER LIVING TO ENHANCE MOOD, ACTIVITY AND HEALTH
No One Understands Music For Health Better Than Sourcetone
Why? Because our technology was created by a group of music enthusiasts and celebrated composers who also happen to be world-renowned researchers.
A group of researchers and scientists from Beth Israel Deaconess Medical Center/Harvard Medical School, New York University, Columbia University and Einstein Medical School has developed ground-breaking clinical research outcomes that are the basis of Sourcetone’s music technology.
More than mood music, the music selections heard through Sourcetone’s 21 Mood, Activity and Health channels are based on hard science about the connection between music and the brain.
Our researchers found highly significant effects of music on wellness and performance as assessed by cognitive, emotional, neurophysiological and brain activity outcomes. That data was integrated into numerical models and learning algorithms that became the Music Classification System Technologies® (MCST™) evaluative system developed by Dr Robert Rowe and a team of leading music researchers.
And just how did the Sourcetone team translate medical outcomes into a completely automated system, one that can actually predict the emotional elements in songs without human intervention of any kind, with accuracy and consistency? We utilize what machine learning gurus like Dr. Rowe call Ground Truth, based on studies of real people during the product development phase of Sourcetone’s MCST™. Ground Truth works to output algorithms that predict how the generalized population will respond to music of any kind, in near real time.
To learn more, select one of the published journal articles authored by members of Sourcetone’s research and development team below.
Automated Music Emotion Recognition: A Systematic Evaluation
Journal of New Music Research
Arefin Huq, Dr. Juan P. Bello and Dr. Robert Rowe
link to abstract
Emotion in Motion: Investigation the Time-course of Emotional Judgements of Musical Stimuli
Justin Pierre Bachorik, Marc Bangert, Psyche Loui, Kevin Larke, Dr. Jeff Berger, Dr. Robert Rowe, Dr. Gottfried Schlaug
link to abstract
About Sourcetone’s Researchers
Dr. Robert Rowe, Ph.D., Director of Research
Dr. Rowe is currently Professor and Associate Dean for Research and Doctoral Studies in the Steinhardt School at New York University. Dr. Rowe’s team has built the MCST™. He is the first composer to complete the Ph.D. in Music and Cognition at the MIT Media Laboratory. Dr. Rowe’s music is performed throughout North America, Europe, and Japan. He served as an editor of the Journal of New Music Research & on the Board of Directors of the Electronic Music Foundation. Dr. Rowe’s books Interactive Music Systems (1993) and Machine Musicianship (2001) have been published by MIT Press.
Dr. Gottfried Schlaug, M.D., Ph.D., Principal Investigator at Beth Israel Deaconess Medical Center (BIDMC)/Harvard Medical School (HMS)
Dr. Schlaug completed two Sourcetone grants on the Integrated Areas of Digital Sound/Music, Human Behavior and Brain Function. He serves as the Director of the Music and Neuroimaging Laboratory, Chief of the Division of Cerebrovascular Disease and Director of Neuroimaging & Stroke Recovery at BIDMC/HMS. Dr. Schlaug has written over 125 peer-reviewed papers and book chapters. His research team includes musicians, neurobiologists & cognitive neuroscientists.
Dr. Juan Pablo Bello, Ph.D, Senior Researcher in Music Analysis and Classification
Dr. Bello is currently an Associate Professor in Music Technology at New York University and a founding member of its Music and Audio Research Lab (MARL) . His research focuses on endowing computers with music listening and analytical skills, such as the ability to automatically recognize tonal, rhythmic, structural and emotional information from recorded music, and to characterize the similarities that exist between musical pieces. Dr. Bello has authored more than 50 articles in peer-reviewed journals and international conferences at the intersection of music, engineering and computer science, and is a recipient of the prestigious CAREER award from the National Science Foundation.