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, ...

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 ...

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 ...

Ever since the beginning of the notion behind the term 'cloud computing,' i.e., to share the pro- cessing and storage capabilities of a centralized system, there has been a signi cant increase in the availability of raw ...

Efficient preparation and characterization of layered materials and their van der Waals heterojunctions lay the foundation for various opportunities in both fundamental studies and device applications. The vast library ...

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 ...

Intermittent nature of renewables acts as a frequent trigger for small signal oscillations in power grid. These oscillatory modes correspond to either the rotor modes associated with the synchronous machines of conventional ...

Induction machine (IM) is the workhorse of several industries due to its low cost and minimal maintenance. Power electronic converters play a major role in driving IMs which give better flexibility in these applications. ...

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 ...

This thesis addresses different aspects of machine listening using two different approaches, namely (1) A supervised and adaptive sparse representation based approach for identifying the type of background noise and the ...