Search
Now showing items 331-340 of 345
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ...
A Unified Modeling Approach for Design and Performance Improvement of Triple Active Bridge Converter
Triple Active Bridge (TAB) converter is a multi-port DC-DC converter. This converter is an extension of the popular Dual Active Bridge converter. It features desirable traits of the DAB converter, such as high power density, ...
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Automatic speech recognition (ASR) based technologies are radically changing the way we interact with digital services and information. Most of these application leverage on hands-free speech, where talkers are able to ...
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ...
Studies on EEG correlates of non-ordinary states of consciousness and slow-paced breathing
Studies on the non-ordinary states of consciousness (NSCs) induced by meditation, hypnosis, trance, and slow-paced breathing are gaining visibility due to their potential efficacy in treating various clinical conditions. ...
Resource-Aware State-Triggered Networked Control Systems
State-triggered control is a popular control method in the field of networked control
systems owing to its advantage of efficient utilization of resources while simultaneously
achieving control objectives. In this control ...
Pulse Width Modulation Techniques of Two-level Inverter Fed Asymmetrical Six-phase Machine Drive in Linear and Overmodulation Regions
Multi-phase machines (MPMs) have more than three windings in their stator, rotor, or both.
With the broader adoption of power-electronic converters for efficient driving of the machines,
MPMs are gaining attention in ...
Graph Clustering Approaches for Speaker Diarization of Conversational Speech
In this era of advanced machine intelligence, real-world speech applications need to be equipped to deal with conversations involving multiple speakers. An essential first step in speech information extraction from ...
Improved Derivative-based Regularizations for Imaging Inverse problems
Images undergo degradation during the capturing process due to physical
limitations inherent to the capturing devices. Addressing this degradation and
recovering high-quality images constitute the image recovery problem, ...
Investigating Neural Mechanisms of Word Learning and Speech Perception
Language learning and speech perception are remarkable feats performed by the human brain, involving complex neural mechanisms that allow us to understand and communicate with one another. Unravelling the mysteries of these ...