Automatic transcription of pitched and unpitched sounds from polyphonic music

Emmanouil Benetos, Sebastian Ewert, Tillman Weyde
2014 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Automatic transcription of polyphonic music has been an active research field for several years and is considered by many to be a key enabling technology in music signal processing. However, current transcription approaches either focus on detecting pitched sounds (from pitched musical instruments) or on detecting unpitched sounds (from drum kits). In this paper, we propose a method that jointly transcribes pitched and unpitched sounds from polyphonic music recordings. The proposed model
more » ... the probabilistic latent component analysis algorithm and supports the detection of pitched sounds from multiple instruments as well as the detection of unpitched sounds from drum kit components, including bass drums, snare drums, cymbals, hi-hats, and toms. Our experiments based on polyphonic Western music containing both pitched and unpitched instruments led to very encouraging results in multi-pitch detection and drum transcription tasks.
doi:10.1109/icassp.2014.6854172 dblp:conf/icassp/BenetosEW14 fatcat:d2m3iwf6qzdndg2jhwzpozv45y