The Clustering of Expressive Timing Within a Phrase in Classical Piano Performances by Gaussian Mixture Models.
Shengchen LiDawn A. A. BlackMark D. PlumbleyPublished in: CMMR (2015)
Keyphrases
- gaussian mixture model
- mixture model
- density estimation
- feature vectors
- expectation maximization
- bayesian information criterion
- maximum likelihood
- speaker recognition
- em algorithm
- finite mixture models
- feature space
- k means
- unsupervised learning
- clustering algorithm
- speaker identification
- probability density
- mixture modeling
- probability density function
- self organizing maps
- gaussian distribution
- gaussian mixture
- hierarchical clustering
- data points
- covariance matrices
- computer vision
- missing data
- model based clustering
- object recognition
- image processing