Machine rhythm: computer emulation of human rhythm perception
Machine rhythm: computer emulation of human rhythm perception
Very low bit-rate audio coding technique using MIDI representation
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Creating music videos using automatic media analysis
Proceedings of the tenth ACM international conference on Multimedia
A comparative study on content-based music genre classification
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
SmartMusicKIOSK: music listening station with chorus-search function
Proceedings of the 16th annual ACM symposium on User interface software and technology
A survey course on computer audio
Journal of Computing Sciences in Colleges
Key, Chord, and Rhythm Tracking of Popular Music Recordings
Computer Music Journal
A Review of Automatic Rhythm Description Systems
Computer Music Journal
Music-driven character animation
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Proceedings of the 2011 Workshop on Open Source and Design of Communication
Semantic region detection in acoustic music signals
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Hi-index | 0.00 |
This paper presents a beat tracking system that processes acoustic signals of music and recognizes temporal positions of beats in time. Musical beat tracking is needed by various multimedia applications such as video editing, audio editing, and stage lighting control. Previous systems were not able to deal with acoustic signals that contained sounds of various instruments, especially drums. They dealt with either MIDI signals or acoustic signals played on a few instruments, and in the latter case, did not work in real time. Our system deals with popular music in which drums maintain the beat. Because our system examines multiple hypotheses in parallel, it can follow beats without losing track of them, even if some hypotheses become wrong. Our system has been implemented on a parallel computer, the Fujitsu AP1000. In our experiment, the system correctly tracked beats in 27 out of 30 commercially distributed popular songs.