Browsing Electrical Engineering (EE) by thesis submitted date"2020"
Now showing items 1-20 of 21
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Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms
Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ... -
AlGaN/GaN Heterojunction Based Hall Sensors for Magnetic Field Sensing over Wide Temperature Range
Hall sensor has proved to be an attractive solution for sensing requirements in electric machines for direct measurement of fields or indirect estimation of physical quantities such as current, speed and torque. Current ... -
Cross-Modal Retrieval and Hashing
The objective of cross-modal retrieval is to retrieve relevant items from one modality (say image), given a query from another modality (say textual document). Cross-modal retrieval has various applications like matching ... -
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 ... -
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 ... -
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ... -
Fault Location in Double Wye Shunt Capacitor Banks
Shunt capacitor banks (SCBs) are usually used for providing reactive power support to power systems. Reactive power support leads to power factor correction, voltage regulation and reduction of network losses. Outage of ... -
Improved Generative Models for Zero-shot object recognition
Recognizing objects from their images automatically using computers is an important research area in the computer vision community. In this scenario, the testing images are automatically classified into one of the classes ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
Neural Representation Learning for Speech and Audio Signals
Representation learning is the branch of machine learning consisting of techniques that are capable of automatically discovering meaningful representations from raw data for efficient information extraction. In recent ... -
One-Shot Coordination of First and Last Mode Service in Multi-Modal Transportation
In this thesis, we propose a coordination of the rst and last mode connectivity in a multi- modal transportation system. In particular, we consider a one-shot problem wherein the passengers must be transported to or ... -
Parallel Computing Techniques for High Speed Power System Solutions
Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the ... -
Pitch-Synchronous Discrete Cosine Transform Features for Speaker Recognition and Other Applications
Extracting speaker-speci c information from the speech is of great interest since speaker recognition technology nds application in a wide range of areas such as forensics and biometric security systems. In this thesis, ... -
Price of Privacy of Smart Meter Data
Smart meter data can be used by the utility for billing the consumers timely along with power theft detection, demand side management, distribution network planning, consumer segmentation, load forecasting, fault detection, ... -
Probabilistic source-filter model of speech
The human respiratory system plays a crucial role in breathing and swallow ing. However, it also plays an essential role in speech production, which is unique to humans. Speech production involves expelling air from the ... -
Protection Schemes for Maintaining the Coordination Time Interval Between the Relays in Micro-grid
Conventional power system alone cannot meet the ever growing needs of electrical power in the world in a reliable manner. Under these circumstances, large penetration of Dis- tributed generators in the distribution level ... -
Sampling of Structured Signals: Techniques and Imaging Applications
The celebrated Shannon sampling theorem is a key mathematical tool that allows one to seamlessly switch between the continuous-time and discrete-time representations of bandlimited signals. Sampling and reconstruction of ... -
Speaker verification using whispered speech
Like neutral speech, whispered speech is one of the natural modes of speech production, and it is often used by speakers in their day-to-day life. For some people, such as laryngectomees, whispered speech is the only ... -
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 ... -
Strategies for Handling Large Vocabulary and Data Sparsity Problems for Tamil Speech Recognition
This thesis focuses on the design and development of every building block of a very large vocabulary, continuous speech recognition (LVCSR) system and various experiments conducted in order to enhance its performance. ...