Through the present paper, the evaluation results of a Speaker Independent Robust-to-Noise Isolated Word Recognizer are presented. The system, which is in part the results achieved by the project IVORY (ESPRIT project No. 20277) [6], is intended for working in highly non-stationary environments. The system comprises two main modules: the Noise Cancellator and the Speech Recognizer itself. Syste...

A noise cancellation system with an improved performance and low computational costs is presented in this paper. In speech applications, slow convergence and high computational burden are the main problems incorporating with conventional noise cancellation method. The proposed noise canceller is based on using multirate filter bank to split the spectrum of the input signals and uses the least m...

This paper presents the comparison between different adaptive algorithms usages in acoustic echo cancellation. This comparison includes the cancellation of echo generated in room using different adaptive algorithms Least Mean Square (LMS), Normalized Least Mean Square (NLMS), Improved Proportionate Normalized Least Mean Square (IPNLMS) and Recursive Least Squares (RLS) Algorithms. The goal of t...

Multiple User Interference (MUI) considers the primary problem in Optical Code-Division Multiple Access (OCDMA), which resulting from the overlapping among the users. In this article we aim to mitigate this problem by studying an interference cancellation scheme called successive interference cancellation (SIC) scheme. This scheme will be tested on two different detection schemes, spectral ampl...

In this paper Active Noise Control Mechanism is utilized using higher order X-LMS filter. This techniqueis based on X-NLMS, also known as traditional Acoustic Noise Cancellation (ANC) scheme. It cancels the wideband noise from the corrupted speech signal. It does not consider the effect of sinusoidal noise. In real-time environment, sinusoidal noise is added in the speech signal throughdifferen...

In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapidly. Least Mean Squares (LMS) and Normalized Least Mean Squares (NLMS) adaptive filters have been used in a wide range of signal processing application because of its simplicity in computation and implementation. The Recur...

This paper introduces a new structure for a modulated complex lapped transform (MCLT), which is a complex extension of the modulated lapped transform (MLT). The MCLT is a particular kind of a 2x oversampled generalized DFT filter bank, whose real part corresponds to the MLT. That property can be used for efficient implementation of joint echo cancellation, noise reduction, and coding, for examp...

Noise cancellation in the field of Adaptive filtering has become the essential requirement of the signal processing .The standard multilayer perceptron (MLP) model of Neural Networks is now popular in Adaptive filtering This paper presents the noise-cancellation technique based on Generalized-mean neuron network (GMN). This network consists of an aggregation function, which is based on the gene...

The aim of this Project is to complete a first study of Active Noise Cancellation systems applicability to Unmanned Aerial Vehicles. The main motivation to this research is the EASA request to minimize noise from UAVs in populated areas, besides all other possible applications. At first, a brief introduction to the issue and ANC systems is made. Then, a physical model of propellers soundwaves i...

This paper proposes an efficient way of integrating acoustic echo canceller (AEC) and background noise reduction (NR) modules for voice communication systems. The main strategy for designing a standalone AEC or NR module is straightforward, but it is not easy to integrate two modules in a single system because of the undesired effect caused by the nonlinear nature of each module’s output. The p...