Using Sparse Classification Outputs as Feature Observations for Noise-robust ASR.
Yang SunBert CranenJort F. GemmekeLouis ten BoschLou BovesMathew M. DossPublished in: INTERSPEECH (2012)
Keyphrases
- noisy environments
- feature vectors
- unbalanced data
- classification accuracy
- decision trees
- pattern recognition
- image classification
- image noise
- feature values
- pattern classification
- discriminatory power
- feature set
- support vector
- feature analysis
- support vector machine
- text classification
- support vector machine svm
- automatic classification
- feature selection
- sparse data
- automatic speech recognition
- classification method
- svm classifier
- supervised learning
- machine learning
- classification scheme
- feature representation
- dictionary learning
- speech recognition
- model selection
- discriminative features
- probabilistic model
- training set
- imaging artifacts
- salt pepper