Ultra-low-field magnetic resonance imaging (MRI) could suffer from heavy uncorrelated
noise, and its removal could be a critical post-processing task. As a primary source of …

Speech signal quality and its intelligibility degrade when it is mixed with the noise and it
becomes hard to extract the original information contained in the signal. Hence, it is very …

In this paper, the conventional Extended Kalman Filter (EKF) algorithm has been
systematically extended to the estimated measurement (EKF-EM) paradigm. The derivation …

The report provides a description of the existing proctoring systems. Possible violations and
methods for their detection are described. As a result, a decision was made to develop our …

In real-life applications, noise originating from different sound sources modifies the
characteristics of an input signal which affects the development of an enhanced ASR …

In any signal noise is an undesired quantity, however most of thetime every signal get mixed
with noise at different levels of theirprocessing and application, due to which the information …

Several improvements of algorithms for the front-end feature extraction of real-time speech
decoding in noisy ambiance have been proposed with their demonstration on the TIMIT …

This paper presents a non-iterative Kalman filter (NIT-KF) for single channel speech
enhancement in nonstationary noise condition (NNC). To adopt NIT-KF with NNC, we …

В докладе приведено описание существующих систем прокторинга. Описаны
возможные нарушения и методы по их детектированию. В результате принято …

In this thesis, two topics are integrated-the famous MMSE estimator, Kalman Filter and
speech processing. In other words, the application of Kalman filter in speech enhancement …