Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

The aim of this paper is to provide an overview of Sparse Linear Prediction, a set of speech
processing tools created by introducing sparsity constraints into the linear prediction …

We propose a novel speech enhancement approach based on compressed sensing. The
method performs noise subtraction in the measurement domain in addition to sparse …

Speech is an essential method for communicating with people. Understanding speech in a
non-ideal environment is a challenging issue for a hearing disabled. Hearing instruments …

Encouraged by the promising application of compressed sensing in signal compression, we
investigate its formulation and application in the context of speech coding based on sparse …

Highly miniaturised, wearable computing and communication systems allow unobtrusive,
convenient and long term monitoring of a range of physiological parameters. For long term …

This study proposes a speech enhancement method based on compressive sensing. The
main procedures involved in the proposed method are performed in the frequency domain …

One of the challenges in the plastic industry is the cost and time spent on the
characterization of different grades of polymers. Compressed sensing is a data …

In this paper, we consider the application of compressed sensing (aka compressive
sampling) to speech and audio signals. We discuss the design considerations and issues …

According to the latest research, it is very much clear that in future we require a huge amount
of data as modern advancement in communication and signal processing generates a large …