Paper Info
Title
A Comparison Of Extended Source-Filter Models For Musical Signal Reconstruction
Abstract
Recently, we have witnessed an increasing use of the source-filter model in music analysis, which is achieved by integrating the source filter model into a non-negative matrix factorisation (NMF) framework or statistical models. The combination of the source-filter model and NMF framework reduces the number of free parameters needed and makes the model more flexible to extend. This paper compares four extended source-filter models: the source-filter-decay (SFD) model, the NMF with time-frequency activations (NMF-ARMA) model, the multi-excitation (ME) model and the source-filter model based on beta-divergence (SFbeta model). The first two models represent the time-varying spectra by adding a loss filter and a time-varying filter, respectively. The latter two are extended by using multiple excitations and including a scale factor, respectively. The models are tested using sounds of 15 instruments from the RWC Music Database. Performance is evaluated based on the relative reconstruction error. The results show that the NMF-ARMA model outperforms other models, but uses the largest set of parameters.
Year
Venue
DocType
2014
DAFX-14: 17TH INTERNATIONAL CONFERENCE ON DIGITAL AUDIO EFFECTS
Conference
ISSN
Citations 
PageRank 
2413-6700
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Tian Cheng 0001100.34
Simon Dixon2797.07
Matthias Mauch338126.97