Exploring Emotional Prototypes in a High Dimensional TTS Latent Space.
Pol van RijnSilvan MertesDominik SchillerPeter M. C. HarrisonPauline Larrouy-MaestriElisabeth AndréNori JacobyPublished in: Interspeech (2021)
Keyphrases
- latent space
- high dimensional
- low dimensional
- dimensionality reduction
- parameter space
- lower dimensional
- low dimensional spaces
- feature space
- latent variables
- high dimensional data
- manifold learning
- gaussian process
- high dimensional spaces
- high dimensionality
- nearest neighbor
- gaussian process latent variable models
- generative model
- gaussian processes
- similarity search
- dimension reduction
- higher dimensional
- distance metric
- data points
- principal component analysis
- probabilistic model
- euclidean space
- training set
- transfer learning
- random variables
- regression model
- model selection
- prior knowledge
- probabilistic latent semantic analysis
- graphical models
- machine learning