Utilizing empirical data for postposition classification toward spoken Japanese speech recognition.
Junko HosakaToshiyuki TakezawaTerumasa EharaPublished in: EUROSPEECH (1991)
Keyphrases
- speech recognition
- empirical data
- pattern recognition
- hidden markov models
- automatic speech recognition
- speech processing
- language model
- speech recognizer
- speech signal
- speech synthesis
- classification accuracy
- speech recognition systems
- machine learning
- noisy environments
- speaker identification
- speech understanding
- support vector machine
- image processing
- neural network
- speaker independent
- speech retrieval
- speech recognizers
- feature vectors
- feature space
- feature extraction
- computer vision
- speech recognition technology
- isolated word
- image classification
- speaker dependent
- speaker adaptation
- speaker diarization
- feature set
- text classification