On combining acoustic and modulation spectrograms in an attention LSTM-based system for speech intelligibility level classification.
Ascensión Gallardo-AntolínJuan Manuel MonteroPublished in: Neurocomputing (2021)
Keyphrases
- speech recognition
- classification accuracy
- pattern classification
- pattern recognition
- feature space
- decision trees
- classification algorithm
- spectral features
- speech signal
- speech recognition systems
- machine learning
- support vector
- text classification
- classification systems
- classification scheme
- classification method
- feature selection
- speech sounds
- dialogue system
- speaker independent
- automatic classification
- support vector machine svm
- training samples
- higher level
- feature set
- supervised learning
- multi class
- support vector machine
- feature vectors