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Speech task-specific representation learning using acoustic-articulatory data
Human speech production involves modulation of the air stream by the vocal tract shape determined by the articulatory configuration. Articulatory gestures are often used to represent the speech units. It has been shown ...
Fast total variation minimizing image restoration under mixed Poisson-Gaussian noise
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by
additive Gaussian noise. Maximum Likelihood Estimation (MLE) based restoration methods that use
the exact Likelihood ...
Investigations on Five Level Inverter Schemes for Extending the Linear Modulation Range for Induction Motor Drives
Multilevel inverters (MLI) are the most preferable alternatives for medium to
high voltage applications. It finds in many applications like traction drives, fans,
blowers, HVDC and FACTs etc. It offers many attractive ...
First Principles Based Mobility Estimation of Graphene
Electron-phonon coupling (EPC) plays a vital role in detecting transport properties
(e.g. mobility) of any material. First principles-based estimation of the
mobility for any new material could act as a useful guideline ...
Design of Authentication and Privacy Schemes for a Generic Social Network
In social networks, people (also known as actors) are often connected to each other in order to share the
information. With the advancement in the information technology, social networks have in
influenced actors
of ...
Application of Semi Analytical Methods for Large Power System Simulations
Power system dynamics can be accurately modelled in time domain by using nonlinear differential and algebraic equations (DAEs). The challenge lies in solving the large number of nonlinear DAEs faster than real-time in order ...
Atom-to-circuit Modeling Strategy for 2d Transistors
Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction ...
Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ...
Development of Synchro-Phasor Algorithms on Parallella - A Credit Card Sized Super Computer
In recent years, usage of GPS time-stamped phasor magnitude and angle measure-
ments of voltage and current samples, called synchrophasors, is getting great atten-
tion for wide area monitoring, protection, and control ...
Design of broad-band backend compatible photonic devices and vertical inter-layer couplers
Optical interconnects are regarded as efficient replacements for conventional electrical wiring for realizing large data capacity, high-speed transmission and Silicon-based integrated photonics is the best candidate for ...