Automatic Characterization of Digital Music for Rhythmic Auditory Stimulation

نویسنده

  • Eric J. Humphrey
چکیده

A computational rhythm analysis system is proposed to characterize the suitability of musical recordings for rhythmic auditory stimulation, a neurologic music therapy technique that uses rhythm to entrain periodic physical motion. Current applications of RAS are limited by the general inability to take advantage of the enormous amount of digital music that exists today. The system aims to identify motor-rhythmic music for the entrainment of neuromuscular activity for rehabilitation and exercise, motivating the concept of musical “use-genres.” This work builds upon prior research in meter and tempo analysis to establish a representation of rhythm chroma and alternatively describe beat spectra.

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تاریخ انتشار 2010