Noise-robust voice conversion based on spectral mapping on sparse space.
Ryoichi TakashimaRyo AiharaTetsuya TakiguchiYasuo ArikiPublished in: SSW (2013)
Keyphrases
- image noise
- random noise
- greater robustness
- computationally efficient
- noise reduction
- geometric distortions
- real time face tracking
- signal to noise ratio
- estimation error
- sparse data
- search space
- rank minimization
- noisy environments
- feature space
- salt pepper
- mid frequency
- spectral decomposition
- robust statistical
- feature extraction
- hyperspectral imagery
- registration errors
- compressive sensing
- median filter
- missing data
- space time
- low dimensional
- multiscale