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» Methods for Combining Statistical Models of Music
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ISMIR
2004
Springer
117views Music» more  ISMIR 2004»
14 years 1 months ago
Instrument identification in solo and ensemble music using Independent Subspace Analysis
We investigate the use of Independent Subspace Analysis (ISA) for instrument identification in musical recordings. We represent short-term log-power spectra of possibly polyphoni...
Emmanuel Vincent, Xavier Rodet
ESANN
2008
13 years 9 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
TASLP
2002
109views more  TASLP 2002»
13 years 8 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
BMCBI
2010
140views more  BMCBI 2010»
13 years 8 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
HICSS
2006
IEEE
114views Biometrics» more  HICSS 2006»
14 years 2 months ago
New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies
When large amount of statistical information about power system component failure rate is available, statistical parametric models can be developed for predictive maintenance. Oft...
Miroslav Begovic, Petar M. Djuric, Joshua Perkel, ...