Compression of a neural network can help in speeding up both the training and the
inference of the network. In this research, we study applying compression using low rank …

This paper presents a new approach for frequency estimation and tracking based on State
Dependent Riccati Equation Filter (SDREF). The SDREF is an alternative concept to the well …

While pitch detection has been the focal subject of numerous research efforts for several
decades, it is still a challenging task in noisy conditions. In this article, we propose a method …

Nowadays, agricultural and food technology require the integration of advanced computer
technology and sophisticated computational approach for enhancing the characterization …

In this paper, we present SwiftLearn, a data-efficient approach to accelerate training of deep
learning models using a subset of data samples selected during the warm-up stages of …

This dissertation investigates algorithms for estimating pitch in the human voice. Many such
algorithms exist, and claim to be accurate even in high levels of noise. Pitch, however, is a …

Shape from Focus (SFF) is a passive technique that is used to recover the 3D shape of an
object using a series of images with different focus settings. When 2D image sequences are …

In this paper, we propose a time-recursive multipitch estimation algorithm using a sparse
reconstruction framework, assuming that only a few pitches from a large set of candidates …

Recovering three-dimensional (3D) shape of an object from two-dimensional (2D)
information is one of the major domains of computer vision applications. Shape from Focus …

Pitch tracking, or the continuous extraction of fundamental frequency from speech
waveforms, is of vital importance to many applications in speech analysis and synthesis …