Maximum Likelihood i-vector Space Using PCA for Speaker Verification.
Zhenchun LeiYingchun YangPublished in: INTERSPEECH (2011)
Keyphrases
- vector space
- speaker verification
- maximum likelihood
- principal component analysis
- low dimensional
- noisy environments
- dimensionality reduction
- em algorithm
- similarity search
- audio visual
- feature extraction
- feature vectors
- high dimensional
- emotion recognition
- principle component analysis
- latent semantic indexing
- feature space
- distance measure
- covariance matrix
- mixture model
- expectation maximization
- gaussian mixture model
- high dimensional data
- similarity measure
- face recognition
- extracting features
- machine learning
- multi modal
- noise reduction
- multilayer perceptron
- image classification
- using artificial neural networks
- face verification
- face images
- language identification
- pattern recognition
- edge detection
- feature selection