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