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Bayesian singing-voice separation
Po Kai Yang, Chung Chien Hsu,
Jen-Tzung Chien
電機工程學系
研究成果
:
Paper
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同行評審
13
引文 斯高帕斯（Scopus）
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Keyphrases
Background music
100%
Non-negative Matrix Factorization
100%
Singing Voice
100%
Singing Voice Separation
100%
Expectation-maximization Algorithm
50%
Mixed-signal
50%
Model Complexity
50%
Function-based
50%
Model Uncertainty
50%
Weight Matrix
50%
Likelihood Function
50%
Clustering Algorithm
50%
Marginal Likelihood
50%
Factorization Method
50%
Bayesian Nonnegative Matrix Factorization
50%
Model Regularization
50%
Music Source Separation
50%
Poisson Distribution
50%
Variational Bayesian Approximation
50%
Base Matrix
50%
Variational Inference
50%
Variational Model
50%
Variational Parameter
50%
Variational Bounds
50%
Source-to-distortion Ratio
50%
Separation Algorithm
50%
Musical Accompaniment
50%
Mathematics
Bayesian
100%
Matrix (Mathematics)
100%
Factorization
100%
Regularization
33%
Likelihood Function
33%
Marginal Likelihood
33%
Poisson Distribution
33%
Expectation-Maximization Algorithm
33%
Method Performs
33%
Clustering Algorithm
33%
Weight Matrix
33%
Computer Science
nonnegative matrix factorization
100%
Experimental Result
33%
Model Complexity
33%
Likelihood Function
33%
Clustering Algorithm
33%
Marginal Likelihood
33%
Source Separation
33%
Regularization
33%
Engineering
Matrix Factorization
100%
Expectation Maximization Algorithm
33%
Experimental Result
33%
Model Parameter
33%
Clustering Algorithm
33%
Regularization
33%
Source Separation
33%
Likelihood Function
33%