Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach.
Vincent W. NeoChristine EversPatrick A. NaylorPublished in: EUSIPCO (2020)
Keyphrases
- speech recognition
- subspace clustering
- speech signal
- low dimensional
- high dimensional
- endpoint detection
- speech synthesis
- principal component analysis
- audio visual
- text to speech
- speaker recognition
- spoken language
- subspace learning
- automatic speech recognition
- high dimensional data
- lower dimensional
- noisy environments
- low order
- recognition engine
- dimensionality reduction
- feature space
- clustering high dimensional data
- low degree
- spontaneous speech
- principal components
- multimodal interfaces
- hilbert space
- broadcast news
- linear space
- subspace methods
- linear subspace