Optimized subspace weighting for robust speech recognition in additive noise environments.
Kris HermusWerner VerhelstPatrick WambacqPublished in: INTERSPEECH (2000)
Keyphrases
- speech recognition
- additive noise
- speech signal
- noisy environments
- automatic speech recognition
- hidden markov models
- speech recognizer
- noisy images
- pattern recognition
- speech processing
- speaker identification
- language model
- speech synthesis
- speech enhancement
- vocal tract
- maximum likelihood
- random variables
- speech recognition technology
- background noise
- spatial domain
- speaker independent
- linear prediction
- high dimensional data
- feature space
- speech recognition systems
- low dimensional
- machine learning
- frequency domain
- image classification
- dimensionality reduction
- feature extraction
- speaker dependent
- information retrieval