Polynomial dynamic time warping kernel support vector machines for dysarthric speech recognition with sparse training data.
Vincent WanJames CarmichaelPublished in: INTERSPEECH (2005)
Keyphrases
- speech recognition
- dynamic time warping
- training data
- acoustic models
- kernel support vector machines
- support vector machine
- distance measure
- hidden markov models
- speech processing
- data sets
- pattern recognition
- speech recognizer
- speech signal
- automatic speech recognition
- similarity measure
- euclidean distance
- speech synthesis
- speech recognition technology
- learning algorithm
- speech recognition systems
- noisy environments
- language model
- training process
- speaker identification
- edit distance
- high dimensional
- handwriting recognition
- training set
- longest common subsequence
- classification accuracy
- decision trees
- similarity search
- information retrieval
- speaker independent
- neural network
- nearest neighbor
- support vector