Locally Linear Embedding for Exemplar-Based Spectral Conversion.
Yi-Chiao WuHsin-Te HwangChin-Cheng HsuYu TsaoHsin-Min WangPublished in: INTERSPEECH (2016)
Keyphrases
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- dimensional data
- laplacian eigenmaps
- spectral analysis
- principal component analysis
- subspace learning
- orthogonal projection
- triangular mesh
- dimensionality reduction methods
- dimension reduction
- principal components analysis
- preprocessing step
- semi supervised
- data points
- machine learning