Regression features for recognition of speech in quiet and in noise.
Ted H. ApplebaumBrian A. HansonPublished in: ICASSP (1991)
Keyphrases
- feature extraction
- object recognition
- noisy environments
- recognition rate
- robust recognition
- feature vectors
- image features
- feature set
- recognition accuracy
- visual object recognition
- feature extractor
- feature space
- pattern recognition
- model selection
- recognition algorithm
- support vector regression
- classification accuracy
- personal identification
- broadcast news
- low level
- highly discriminative
- speech enhancement