Who says music researchers are stodgy? Some interesting new research going on at McGill that could someday work to improve beat detection in all kinds of music software:
An essential first step in understanding how various producers uniquely use percussion, melody, and harmony in their tracks is downbeat detection (to find the first beat of every measure). We’ve developed a style-specific method of downbeat detection catered to Hardcore, Jungle, and Drum and Bass (HJDB) by combining multiple forms of metrical information: low-frequency onset detection; beat tracking; and a regression model (SVR) trained on the timbre and sequence order of breakbeats. In a recent evaluation using 206 HJDB tracks, we demonstrate superior accuracy of our style-specific method over four general downbeat detection algorithms (including two commercial algorithms).
Read the rest at Breakscience.