Investigations into vowel and consonant structures in articulatory and auditory spaces using Laplacian eigenmaps.
Jianwu DangShengbei WangMasashi UnokiPublished in: ICASSP (2016)
Keyphrases
- laplacian eigenmaps
- vocal tract
- manifold learning
- nonlinear dimensionality reduction
- speech signal
- low dimensional
- kernel pca
- speech recognition
- riemannian manifolds
- formant frequencies
- speech synthesis
- signal processing
- probabilistic model
- latent space
- latent variables
- empirical mode decomposition
- dynamic time warping
- graph laplacian
- pattern recognition
- vector space
- knn
- high dimensional
- data analysis