Results 1 to 10 of about 1,828 (248)

Interactive quality enhancement in acoustic echo cancellation

2013 36th International Conference on Telecommunications and Signal Processing (TSP), 2013
Classical adaptive algorithms for acoustic echo cancellation (AEC) are often based on error-driven optimization strategies, such as the mean-square error minimization. However, these approaches do not always satisfy the quality requirements demanded by users that avail of such audio signal processing systems. In order to meet subjective specifications,
COMMINIELLO, DANILO, SCARDAPANE, SIMONE, SCARPINITI, MICHELE, UNCINI, Aurelio   +3 more
openaire   +2 more sources

A Kalman filter for stereophonic acoustic echo cancellation

2014 48th Asilomar Conference on Signals, Systems and Computers, 2014
The stereophonic acoustic echo cancellation (SAEC) scheme was recently recast by using the widely linear (WL) model, i.e., as a single-input/single-output system with complex random variables. In this paper, we present a Kalman filter with individual control factors in the context of the WL model for SAEC.
Constantin Paleologu, Jacob Benesty, Steven L. Grant, Silviu Ciochina   +3 more
openaire   +1 more source

Acoustic Echo Cancelation for High Noise Environments

2006 IEEE International Conference on Multimedia and Expo, 2006
Acoustic echo cancellation (AEC) is highly imperative for enhanced communication in noisy environments such as a car or a conference room. In this work, we present a dual-structured AEC architecture that improves both the convergence time and misadjustment of a conventional adaptive sub-band AEC algorithm in high noise environments.
Amit Chhetri, Jack W. Stokes, Dinei A. F. Florêncio   +2 more
openaire   +1 more source

Delayless frequency domain acoustic echo cancellation

IEEE Transactions on Speech and Audio Processing, 2001
The computational complexity of classical time domain gradient-based echo cancellation algorithms might be prohibitively high, due to the very long response of the acoustic transfer functions involved. A reduction in computational complexity can be achieved by using frequency domain or subband algorithms. However, these algorithms introduce an inherent
Yosef Bendel, David Burshtein, Ofir Shalvi, Ehud Weinstein   +3 more
openaire   +1 more source

Acoustic Echo Cancellation Using Gaussian Processes

2009
In this paper Gaussian process is applied to linear and nonlinear acoustic echo cancellation. Gaussian process is a kernel method in which predictions to new inputs are made based on the linear combination of kernel functions evaluated at each training data.
Jyun-ichiro Tomita, Yuzo Hirai
openaire   +1 more source

Acoustic echo canceller with high speech quality

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Acoustic echo cancellers utilizing adaptive finite impulse response (FIR) filters conventionally incorporate learning identification (LI) also called the normalized least mean square (NLMS) adaptation algorithm. This echo cancellers have a serious problem in that colored signal input and incremental tap length degrade their echo cancellation ...
Hiroshi Yasukawa, Shoji Shimada, Isao Furukawa   +2 more
openaire   +1 more source

An improved method for stereo acoustic echo canceling

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2004
The paper introduces an improved version of the well-known frequency-domain LMS. We cope with the correlation problem by choosing the step-size according to the correlation factor and by using a novel delay-and-add algorithm which makes use of changes in the transmission room. The combination of these techniques allows the distortion of the loudspeaker
openaire   +1 more source

Acoustic echo-canceler using the FBAF algorithm

IEEE Transactions on Communications, 1994
An acoustic echo-canceler for teleconferencing systems is realized based on the frequency bin adaptive filtering (FBAF) algorithm. In the FBAF algorithm, each frequency bin does an independent adaptive filtering, so that parallel processing can be used to increase the throughput of the system.
Mohammad Reza Asharif, Fumio Amano
openaire   +1 more source

Acoustic Echo Cancellation Using Sub-Adaptive Filter

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2006
In this paper, we propose an improvement of acoustic echo cancellation (AEC) using sub adaptive filter (sub-ADF). In the acoustic echo cancellation, the step-size parameter of the adaptive filter in AEC must be changed according to the situations where a double talk and an echo path change occur.
Satoshi Ohta, Yoshinobu Kajikawa, Yasuo Nomura   +2 more
openaire   +1 more source

Deep Adaptation Control for Acoustic Echo Cancellation

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Amir Ivry, Israel Cohen, Baruch Berdugo
openaire   +1 more source