Automatic Chinese pronunciation error detection using SVM trained with structural features.
Tongmu ZhaoAkemi HoshinoMasayuki SuzukiNobuaki MinematsuKeikichi HirosePublished in: SLT (2012)
Keyphrases
- structural features
- error detection
- error correction
- svm classifier
- tree kernels
- training set
- support vector
- support vector machine svm
- structural information
- semantic features
- linguistic features
- support vector machine
- kernel function
- feature set
- feature selection
- fault tolerance
- secondary structure
- training data
- knn
- feature space
- digital libraries
- face recognition
- image processing