A Regression Model of Recurrent Deep Neural Networks for Noise Robust Estimation of the Fundamental Frequency Contour of Speech.
Akihiro KatoTomi KinnunenPublished in: CoRR (2018)
Keyphrases
- regression model
- robust estimation
- fundamental frequency
- neural network
- robust statistical
- speech signal
- least squares
- noisy environments
- range image segmentation
- prediction model
- regression methods
- model selection
- linear regression model
- speech recognition
- generalized linear models
- regression analysis
- robust estimator
- back propagation
- motion field
- image structure
- interval valued data
- multivariate regression
- explanatory variables
- pattern recognition
- genetic algorithm
- noise reduction
- neural network model
- missing data
- active contours
- artificial neural networks
- parameter estimation
- motion estimation
- active learning
- robust estimators
- image processing