公开(公告)号：WO2022266202A1

公开(公告)日：2022-12-22

申请号：PCT/US2022/033597

申请日：2022-06-15

Applicant: MIIR AUDIO TECHNOLOGIES, INC

Inventor： DUMAS, Roger ,  BECK, Jon ,  PRUST, Aaron ,  KATZ, Gary ,  MOE, Paul, J. ,  LEVITIN, Daniel J.

IPC: G06F16/61 ,  G06F16/635 ,  G06F16/64

Abstract: Systems and methods for identifying the most impactful moments or segments of music, which are those most likely to elicit a chills effect in a human listener. A digital music signal is processed using two or more objective processing metrics that measure acoustic features known to be able to elicit the chills effect. Individual detection events are identified in the output of each metric based on the output being above or below thresholds relative to the overall output. A combination algorithm aggregates concurrent detection events to generate a continuous concurrence data set of the number of concurrent detection events during the music signal, which can be calculated per beat. A phrase detection algorithm can identify impactful segments of the music based on at least one of peaks, peak-proximity, and a moving average of the continuous concurrence data.