DMCA
Drum Sound Detection in Polyphonic Music with Hidden Markov Models (2009)
| Citations: | 6 - 0 self |
BibTeX
@MISC{Paulus09drumsound,
author = {Jouni Paulus and Anssi Klapuri},
title = { Drum Sound Detection in Polyphonic Music with Hidden Markov Models},
year = {2009}
}
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Abstract
This paper proposes a method for transcribing drums from polyphonic music using a network of connected hidden Markov models (HMMs). The task is to detect the temporal locations of unpitched percussive sounds (such as bass drum or hi-hat) and recognise the instruments played. Contrary to many earlier methods, a separate sound event segmentation is not done, but connected HMMs are used to perform the segmentation and recognition jointly. Two ways of using HMMs are studied: modelling combinations of the target drums and a detector-like modelling of each target drum. Acoustic feature parametrisation is done with mel-frequency cepstral coefficients and their first-order temporal derivatives. The effect of lowering the feature dimensionality with principal component analysis and linear discriminant analysis is evaluated. Unsupervised acoustic model parameter adaptation with maximum likelihood linear regression is evaluated for compensating the differences between the training and target signals. The performance of the proposed method is evaluated on a publicly available data set containing signals with and without accompaniment, and compared with two reference methods. The results suggest that the transcription is possible using connected HMMs, and that using detector-like models for each target drum provides a better performance than modelling drum combinations.
Keyphrases
polyphonic music hidden markov model drum sound detection target drum feature dimensionality principal component analysis connected hmms separate sound event segmentation linear discriminant analysis unpitched percussive sound detector-like modelling modelling combination temporal location bass drum acoustic model parameter adaptation detector-like model target signal drum combination maximum likelihood linear regression available data acoustic feature parametrisation reference method first-order temporal derivative mel-frequency cepstral coefficient
