A state-space model with neural-network prediction for recovering vocal tract resonances in fluent speech from Mel-cepstral coefficients

Speech Communication ◽

10.1016/j.specom.2006.01.001 ◽

2006 ◽

Vol 48 (8) ◽

pp. 971-988 ◽

Author(s):

Roberto Togneri ◽

Li Deng

Keyword(s):

Neural Network ◽

State Space ◽

Vocal Tract ◽

State Space Model ◽

Fluent Speech ◽

Space Model ◽

Neural Network Prediction ◽

Network Prediction ◽

Cepstral Coefficients

Download Full-text

A new state space model for a complex RTRL neural network

IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222) ◽

10.1109/ijcnn.2001.938427 ◽

2002 ◽

Author(s):

P.H.G. Coelho

Keyword(s):

Neural Network ◽

State Space ◽

State Space Model ◽

Download Full-text

State and Parameter Estimation Algorithm for State Space Model Based on Linear Neural Network and Kalman Filter

2019 IEEE International Conference on Mechatronics and Automation (ICMA) ◽

10.1109/icma.2019.8816520 ◽

2019 ◽

Author(s):

Yuhang Yang ◽

Ying Shi

Keyword(s):

Neural Network ◽

Parameter Estimation ◽

Kalman Filter ◽

State Space ◽

State Space Model ◽

Estimation Algorithm ◽

Space Model ◽

Model Based ◽

Parameter Estimation Algorithm ◽

Linear Neural Network

Download Full-text

Dynamic nonlinear state-space model with a neural network via improved sequential learning algorithm for an online real-time hydrological modeling

Journal of Hydrology ◽

10.1016/j.jhydrol.2012.08.001 ◽

2012 ◽

Vol 468-469 ◽

pp. 11-21 ◽

Author(s):

Yoon-Seok Timothy Hong

Keyword(s):

Neural Network ◽

State Space ◽

Real Time ◽

Hydrological Modeling ◽

Learning Algorithm ◽

State Space Model ◽

Sequential Learning ◽

Space Model ◽

Nonlinear State

Download Full-text

State Space Model for Speed Control BLDC Motor Tuning by Combination of PI - Artificial Neural Network Controller

2021 18th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecti-con51831.2021.9454756 ◽

2021 ◽

Author(s):

Sompod Wongkhead

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

State Space ◽

State Space Model ◽

Speed Control ◽

Space Model ◽

Neural Network Controller ◽

Network Controller ◽

Artificial Neural

Download Full-text

Efficient Secure Neural Network Prediction Protocol Reducing Accuracy Degradation

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.2020tap0011 ◽

2020 ◽

Vol E103.A (12) ◽

pp. 1367-1380

Author(s):

Naohisa NISHIDA ◽

Tatsumi OBA ◽

Yuji UNAGAMI ◽

Jason PAUL CRUZ ◽

Naoto YANAI ◽

...

Keyword(s):

Neural Network ◽

Neural Network Prediction ◽

Network Prediction

Download Full-text

Model free adaptive control scheme based on Elman neural network prediction

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188399 ◽

2020 ◽

Author(s):

Yong-wen LIAO ◽

Yi-ming MA ◽

Bao-wei CHEN ◽

Geng-da LI ◽

De-liang ZENG

Keyword(s):

Neural Network ◽

Adaptive Control ◽

Elman Neural Network ◽

Control Scheme ◽

Neural Network Prediction ◽

Network Prediction ◽

Adaptive Control Scheme

Download Full-text

Multilayer Feed Forward Neural Network Prediction Model For Court Case�s Time Span

i-manager’s Journal on Future Engineering and Technology ◽

10.26634/jfet.6.4.1483 ◽

2011 ◽

Vol 6 (4) ◽

pp. 13-26

Author(s):

Behailu Getachew ◽

Keyword(s):

Neural Network ◽

Prediction Model ◽

Time Span ◽

Feed Forward Neural Network ◽

Feed Forward ◽

Neural Network Prediction ◽

Network Prediction

Download Full-text

An Application of a Linear Gaussian State Space Model and the Kalman Filter In Estimating Expectations of the Natural Logarithmic Monthly Market Returns of the US 1838 Bond Debenture Closed-End Fund

SSRN Electronic Journal ◽

10.2139/ssrn.3253648 ◽

2018 ◽

Author(s):

Michel Guirguis

Keyword(s):

Kalman Filter ◽

State Space ◽

State Space Model ◽

Gaussian State ◽

Market Returns ◽

Space Model ◽

Download Full-text

Automatic numerical differentiation by maximum likelihood estimation of a linear Gaussian state space model

2019 18th European Control Conference (ECC) ◽

10.23919/ecc.2019.8795960 ◽

2019 ◽

Author(s):

Robert Piche

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

State Space ◽

State Space Model ◽

Likelihood Estimation ◽

Numerical Differentiation ◽

Gaussian State ◽

Download Full-text

Neural network prediction model for a real-time data transmission

Neural Computing and Applications ◽

10.1007/s00521-006-0042-1 ◽

2006 ◽

Vol 15 (3-4) ◽

pp. 373-382 ◽

Author(s):

Kil To Chong ◽

Sung Goo Yoo

Keyword(s):

Neural Network ◽

Prediction Model ◽

Real Time ◽

Data Transmission ◽

Time Data ◽

Real Time Data ◽

Neural Network Prediction ◽

Network Prediction

Download Full-text