Feature-space SVM adaptation for speaker adapted word prominence detection.
Andrea SchnallMartin HeckmannPublished in: Comput. Speech Lang. (2019)
Keyphrases
- feature space
- kernel function
- support vector machine
- support vector
- feature vectors
- hyperplane
- high dimensional
- feature selection
- support vector machine svm
- co occurrence
- training data
- classification accuracy
- training set
- detection algorithm
- speaker verification
- input space
- feature extraction
- false positives
- dimensionality reduction
- object detection
- data points
- image retrieval
- mean shift
- high dimensionality
- classification algorithm
- n gram
- kernel methods
- detection method
- anomaly detection
- machine learning
- low dimensional
- dimension reduction
- audio visual
- prosodic features
- support vectors
- high dimension
- svm classifier
- speech recognition
- training samples
- image representation
- text classification
- principal component analysis
- probabilistic model
- hidden markov models
- pattern recognition