Hands-free devices, such as mobile phones, are perhaps one of the most prominent applications of acoustic echo cancellation systems. They are often used in a noisy enclosed environment. Therefore, the recorded near-end speech will also contain reverberation and background noise, which degrade the fidelity and intelligibility of speech. In the last two decades postprocessors have been developed ...

In this paper, a residual echo cancellation method is proposed that uses an estimation of the minimum mean-square error (MMSE) based on a statistical model of a speech signal and an echo signal. After the suppression of the echo signal based on the adaptive filter, residual echo is further reduced by the proposed MMSE estimator and the results are compared with the conventional Wiener filter ba...

A new post-processing method for acoustic echo canceler is proposed to reduce the residual echo and ambient noise. The method is based on the correlation of the desired signal and the estimation error signal of adaptive filter. The residual echoes are attenuated as proportional to the correlation of the desired signal and estimation error signal plays a role as Wiener filter for residual echo. ...

The goal of this paper is to introduce the joined LMS and LMF adaptive algorithm (LMFSF) for data echo cancellation. The idea is to use an error estimate as smooth as possible, and after comparison with the selected thresholds to decide whether for the next step we apply LMS or LMF. In order to avoid oscillations from LMS to LMF and back, we use two hysteresis loops. It will be shown through si...

In this report, a new kind of adaptive filter paradigms, so-called proportionate adaptation, is introduced. Based on some recent work, particularly the proportionate normalized least-mean-squared (PNLMS) algorithm, some new proportionate adaptation paradigms are developed. Their theoretical issues of interest, such as H∞ optimality, convergence, computational complexity, etc. are addressed. The...

Acoustic Echo Cancellation (AEC) has become a necessity in today’s conferencing system in order to enhance the audio quality of hands-free communication systems. In recent years, many researchers and manufacturers have developed various AEC algorithms for telecommunication solutions in order to improve the quality of service. Many factors influence the design of an AEC system, such as computati...

The design challenges faced in the integrated circuit realization of the basic customer access U-interface transceiver at 144 kbits/s in the integrated services digital network (ISDN) are summarized. Given the cost and performance objectives, thisrepresents a very challenging design problem from an algorithmic and technology point of view. This survey paper describes the alternative design appr...

Stereophonic acoustic echo cancellation has generated much interest in recent years due to the nonuniqueness and misalignment problems that are caused by the strong interchannel signal coherence. In this paper, we introduce a novel adaptive filtering approach to reduce interchannel coherence which is based on a selective-tap updating procedure. This tap-selection technique is then applied to th...

Background interference creates voice intelligibility issue for listener. This research work considers background music as interference for communication through smart phone in areas with loud background music. This paper proposes a novel framework for background music segregation from human speech using music fingerprinting and acoustic echo cancellation. Initially, background music is searche...

In stereophonic acoustic echo cancellation, the two stereophonic channels are usually strongly correlated, which leads to non-unique solution of adaptive filters. Therefore, the filter misalignment gets large and the tracking capability is poor. In this paper, a novel decorrelation method based on psychoacoustic effect is proposed for stereo acoustic echo cancellation. Spectral dominance effect...