Language Recognition via i-vectors and Dimensionality Reduction.
Najim DehakPedro A. Torres-CarrasquilloDouglas A. ReynoldsRéda DehakPublished in: INTERSPEECH (2011)
Keyphrases
- dimensionality reduction
- feature extraction
- pattern recognition
- recognition rate
- lower dimensional
- principal components
- recognition accuracy
- object recognition
- programming language
- image recognition
- feature vectors
- high dimensionality
- high dimensional
- language learning
- natural language
- linear dimensionality reduction
- principal component analysis
- low dimensional
- high dimensional data
- recognition process
- automatic recognition
- visual recognition
- kernel pca
- dimensionality reduction methods
- random projections
- activity recognition
- data representation
- structure preserving
- manifold learning
- human activities
- d objects
- data analysis
- pattern recognition and machine learning
- computer vision
- input space
- least squares
- image processing