Echo Cancellation and Noise Control

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Full List of Titles
1: Speech Processing
CELP Coding
Large Vocabulary Recognition
Speech Analysis and Enhancement
Acoustic Modeling I
ASR Systems and Applications
Topics in Speech Coding
Speech Analysis
Low Bit Rate Speech Coding I
Robust Speech Recognition in Noisy Environments
Speaker Recognition
Acoustic Modeling II
Speech Production and Synthesis
Feature Extraction
Robust Speech Recognition and Adaptation
Low Bit Rate Speech Coding II
Speech Understanding
Language Modeling I
2: Speech Processing, Audio and Electroacoustics, and Neural Networks
Acoustic Modeling III
Lexical Issues/Search
Speech Understanding and Systems
Speech Analysis and Quantization
Utterance Verification/Acoustic Modeling
Language Modeling II
Adaptation /Normalization
Speech Enhancement
Topics in Speaker and Language Recognition
Echo Cancellation and Noise Control
Coding
Auditory Modeling, Hearing Aids and Applications of Signal Processing to Audio and Acoustics
Spatial Audio
Music Applications
Application - Pattern Recognition & Speech Processing
Theory & Neural Architecture
Signal Separation
Application - Image & Nonlinear Signal Processing
3: Signal Processing Theory & Methods I
Filter Design and Structures
Detection
Wavelets
Adaptive Filtering: Applications and Implementation
Nonlinear Signals and Systems
Time/Frequency and Time/Scale Analysis
Signal Modeling and Representation
Filterbank and Wavelet Applications
Source and Signal Separation
Filterbanks
Emerging Applications and Fast Algorithms
Frequency and Phase Estimation
Spectral Analysis and Higher Order Statistics
Signal Reconstruction
Adaptive Filter Analysis
Transforms and Statistical Estimation
Markov and Bayesian Estimation and Classification
4: Signal Processing Theory & Methods II, Design and Implementation of Signal Processing Systems, Special Sessions, and Industry Technology Tracks
System Identification, Equalization, and Noise Suppression
Parameter Estimation
Adaptive Filters: Algorithms and Performance
DSP Development Tools
VLSI Building Blocks
DSP Architectures
DSP System Design
Education
Recent Advances in Sampling Theory and Applications
Steganography: Information Embedding, Digital Watermarking, and Data Hiding
Speech Under Stress
Physics-Based Signal Processing
DSP Chips, Architectures and Implementations
DSP Tools and Rapid Prototyping
Communication Technologies
Image and Video Technologies
Automotive Applications / Industrial Signal Processing
Speech and Audio Technologies
Defense and Security Applications
Biomedical Applications
Voice and Media Processing
Adaptive Interference Cancellation
5: Communications, Sensor Array and Multichannel
Source Coding and Compression
Compression and Modulation
Channel Estimation and Equalization
Blind Multiuser Communications
Signal Processing for Communications I
CDMA and Space-Time Processing
Time-Varying Channels and Self-Recovering Receivers
Signal Processing for Communications II
Blind CDMA and Multi-Channel Equalization
Multicarrier Communications
Detection, Classification, Localization, and Tracking
Radar and Sonar Signal Processing
Array Processing: Direction Finding
Array Processing Applications I
Blind Identification, Separation, and Equalization
Antenna Arrays for Communications
Array Processing Applications II
6: Multimedia Signal Processing, Image and Multidimensional Signal Processing, Digital Signal Processing Education
Multimedia Analysis and Retrieval
Audio and Video Processing for Multimedia Applications
Advanced Techniques in Multimedia
Video Compression and Processing
Image Coding
Transform Techniques
Restoration and Estimation
Image Analysis
Object Identification and Tracking
Motion Estimation
Medical Imaging
Image and Multidimensional Signal Processing Applications I
Segmentation
Image and Multidimensional Signal Processing Applications II
Facial Recognition and Analysis
Digital Signal Processing Education

Author Index
A B C D E F G H I
J K L M N O P Q R
S T U V W X Y Z

Synthesized Stereo Combined with Acoustic Echo Cancellation for Desktop Conferencing

Authors:

Jacob Benesty,
Dennis R Morgan,
Joseph L Hall,
Man Mohan Sondhi,

Page (NA) Paper number 1242

Abstract:

One promising application in modern communications is desktop conferencing, which can involve several participants over a widely distributed area. Synthesized stereophonic sound will enable a listener to spatially separate one remote talker from another and thereby improve understanding. In such a scenario, we assume we are located in a hands-free environment where the composite acoustic signal is presented over loudspeakers, thus requiring acoustic echo cancellation. In this paper, we explain some of the methods that can be used to synthesize stereo sound and how such methods can be combined efficiently with stereo acoustic echo cancellation in the face of several difficult problems.

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A Stereo Echo Canceller Implemented Using a Stereo Shaker and a Duo-Filter Control System

Authors:

Suehiro Shimauchi,
Shoji Makino,
Yoichi Haneda,
Akira Nakagawa,
Sumitaka Sakauchi,

Page (NA) Paper number 1507

Abstract:

Stereo echo cancellation has been achieved and used in daily teleconferencing. To overcome the non-uniqueness problem, a stereo shaker is introduced in eight frequency bands and adjusted so as to be inaudible and not affect stereo perception. A duo-filter control system including a continually running adaptive filter and a fixed filter is used for double-talk control. A second-order stereo projection algorithm is used in the adaptive filter. A stereo voice switch is also included. This stereo echo canceller was tested in two-way conversation in a conference room, and the strength of the stereo shaker was subjectively adjusted. A misalignment of 20 dB was obtained in the teleconferencing environment, and changing the talker's position in the transmission room did not affect the cancellation. This echo canceller is now used daily in a high-presence teleconferencing system and has been demonstrated to more than 300 attendees.

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Convergence Analysis of Stereophonic Echo Canceller with Pre-Processing: Relation between Pre-Processing and Convergence

Authors:

Akihiro Hirano,
Kenji Nakayama,
Kazunobu Watanabe,

Page (NA) Paper number 2291

Abstract:

This paper presents convergence characteristics of stereophonic echo cancellers with pre-processing. The convergence analysis of the averaged tap-weights show that the convergence characteristics depends on the relation between the impulse response in the far-end room and the changes of the pre-processing filters. Examining the uniqueness of the solution in the frequency domain leads us to the same relation. Computer simulation results show the validity of these analyses.

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Implicit Decimation for FIR Systems and Its Application to Acoustic Echo Cancellation

Authors:

Walter A Frank,
Imre Varga,

Page (NA) Paper number 1725

Abstract:

This paper presents a filter structure which performs implicit decimation of the impulse response. As a result, the number of required operations is reduced or, equivalently, the impulse response length of the filter can be increased. Analysis in the frequency domain shows that this implicit decimation can be applied to systems that exhibit low-pass characteristics or have a smooth transfer function at high frequencies. Such behaviour can be assumed for many technical systems. For the determination of the optimal coefficients many well known algorithms for FIR systems can be used after a slight modification of the signal vector. The performance of implicit decimation is demonstrated for acoustic echo cancellation. Comparison with different algorithms shows that implicit decimation outperforms conventional FIR filtering.

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A Block Least Squares Approach To Acoustic Echo Cancellation

Authors:

Eric A Woudenberg, ATR Human Information Processing Laboratories, Kyoto, Japan (Japan)
Frank K Soong, Bell Laboratories - Lucent Technologies, Murray Hill,New Jersey, USA (USA)
B.H. Juang, Bell Laboratories - Lucent Technologies, Murray Hill,New Jersey, USA (USA)

Page (NA) Paper number 2121

Abstract:

We propose an efficient block least-squares (BLS) algorithm for acoustic echo cancellation. The high computation and memory requirements associated with a long room echo make the simple, gradient-based LMS filter a more acceptable commercial solution than a full-fledged LS canceler. However, the LMS echo canceler has slower convergence and worse steady-state performance than its LS counterpart. In the proposed BLS approach, the autocorrelation and cross-correlation of the source and echo, required in solving the LS normal equations, are performed once per block using FFT's. With appropriate data windowing the autocorrelation matrix is constrained to be Toeplitz, allowing the corresponding normal equations to be solved efficiently. The positive definiteness of the autocorrelation function eliminates the stability problems of other fast LS algorithms. BLS can reduce the echo residual to the level of background noise, allowing a residual power based, statistical near-end speech detector to be devised. Performance in real environments under various settings of filter length, SNR, near-end speech presence, etc., is investigated.

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A Postfilter for Echo and Noise Reduction Avoiding the Problem of Musical Tones

Authors:

Stefan N.A. Gustafsson, Institute of Communication Systems and Data Processing, RWTH Aachen, Templergraben 55, D-52056 Aachen, Germany (Germany)
Peter J. Jax, Institute of Communication Systems and Data Processing, RWTH Aachen, Templergraben 55, D-52056 Aachen, Germany (Germany)
Axel Kamphausen, Institute of Communication Systems and Data Processing, RWTH Aachen, Templergraben 55, D-52056 Aachen, Germany (Germany)
Peter Vary, Institute of Communication Systems and Data Processing, RWTH Aachen, Templergraben 55, D-52056 Aachen, Germany (Germany)

Page (NA) Paper number 1281

Abstract:

In this paper we address the problem of acoustic echo cancellation and noise reduction for narrow and wide band telephone applications. We combine a conventional echo canceller with a postfilter implemented in the frequency domain and derive an algorithm for the simultaneous attenuation of residual echo and noise. The main goals are a low level natural sounding background noise without artifacts such as musical tones, and an inaudible residual echo. This is achieved by considering the masking properties of the human auditory system. Simulation results verify that these goals are reached, while the distortion of the near end speech is comparable to conventional algorithms. Audio demonstrations are available via Internet from http://www.ind.rwth-aachen.de.

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Nonlinear Acoustic Echo Cancellation with 2nd Order Adaptive Volterra Filters

Authors:

Alexander Stenger, University of Erlangen-Nuremberg, Telecommunications Laboratory, Erlangen, Germany (Germany)
Lutz Trautmann, University of Erlangen-Nuremberg, Telecommunications Laboratory, Erlangen, Germany (Germany)
Rudolf Rabenstein, University of Erlangen-Nuremberg, Telecommunications Laboratory, Erlangen, Germany (Germany)

Page (NA) Paper number 1301

Abstract:

Acoustic echo cancellers in today's speakerphones or video conferencing systems rely on the assumption of a linear echo path. Low-cost audio equipment or constraints of portable communication systems cause nonlinear distortions, which limit the echo return loss enhancement achievable by linear adaptation schemes. These distortions are a superposition of different effects, which can be modelled either as memoryless nonlinearities or as nonlinear systems with memory. Proper adaptation schemes for both cases of nonlinearities are discussed. An echo canceller for nonlinear systems with memory based on an adaptive second order Volterra filter is presented. Its performance is demonstrated by measurements with small loudspeakers. The results show an improvement in the echo return loss enhancement of 7 dB over a conventional linear adaptive filter. The additional computational requirement for the presented Volterra filter is comparable to that of existing acoustic echo cancellers.

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On the Poor Robustness of Sound Equalization in Reverberant Environments

Authors:

Biljana D Radlovic, Department of Engineering, Faculty of Engineering and Information Technology, Australian National University (Australia)
Robert C Williamson, Department of Engineering, Faculty of Engineering and Information Technology, Australian National University (Australia)
Rodney A Kennedy, Telecommunications Engineering Group, Research School of Information Sciences and Engineering, The Institute of Advanced Studies, Australian National University (Australia)

Page (NA) Paper number 1496

Abstract:

This paper examines the sensitivity of sound equalization to source or microphone position changes in a reverberant room. It is demonstrate that even small displacements from the reference (equalization) point, of the order of a tenth of the acoustic wavelength, can cause large degradations in the equalized room response. The general theory developed in this paper, which implies that the sound equalization in practical environments may be an ill-posed problem, is verified by the simulation results averaged over different source and microphone positions.

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On The Performance Of A Local Active Noise Control System

Authors:

Maria De-Diego,
Alberto Gonzalez,
Clemente Garcia,

Page (NA) Paper number 1650

Abstract:

This paper presents a multichannel active system for the local control of sound around the headrest on the back of a seat placed inside an enclosure. The size of the zones of quiet produced makes the system practical only at relatively low frequencies. Finally, some results of cancellation for narrowband and broadband noise are presented. Two different system configurations algorithms have been tested on the adaptive controller. Both of them show similar results, but the new algorithm based on the minimization of the maximum error signal power, has shown computational saving and higher speed convergence than the multiple channel least squares algorithm.

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High Quality Signal Reception in the Presence of Stationary Interference-A Blind Signal Separation Approach

Authors:

Wai Kuen Lai,
Ting Wai Siu,
Sze Fong Yau,

Page (NA) Paper number 5087

Abstract:

This paper considers the problem of interference rejection using sensor array with application to enhance signal reception. In contrast to conventional adaptive beamforming which requires knowledge of the array geometry and array response, we propose a two stage blind signal separation approach to achieve interference rejection. The proposed method is based on the practically viable assumptions that the desired signal is temporally non-stationary and the interference are temporally second-order stationary, and is applicable to arrays with uncalibrated response and geometry. Real-world experimental results are presented to demonstrate the performance of the proposed method.

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