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Nonlinear acoustic echo control using an accelerometer

Tushar Gupta, Seth B. Suppappola, Andreas Spanias
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
We propose a novel scheme for nonlinear acoustic echo cancellation where an accelerometer sensor captures loudspeaker vibration and this sensor signal is used along with the error signal to adapt the adaptive  ...  Experiments with an accelerometer mounted on the magnet of a hands-free kit show an echo reduction improvement by as much as 15 dB in situations of nonlinear loudspeaker distortion.  ...  The acoustic echo signal in such a case contains a mixture of linear and nonlinear distortion components.  ... 
doi:10.1109/icassp.2009.4959833 dblp:conf/icassp/GuptaSS09 fatcat:bz5jarjv3jd6jkq34kdi5qyz4e

Nonlinear echo cancellation using generalized power filters

Jiri Malek, Zbynek Koldovsky
2015 2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM)  
These filters model the unknown nonlinear system as a set of monomials, followed by a set of linear systems.  ...  We propose to replacing the monomials by a set of basis functions which resemble known real-world nonlinear distortions.  ...  ACKNOWLEDGMENT This work was supported by The Czech Science Foundation through Project No. 14-11898S.  ... 
doi:10.1109/ecmsm.2015.7208689 fatcat:spyq2cvuu5auve3h4igd5v4gju

Spectral feature-based nonlinear residual echo suppression

Andreas Schwarz, Christian Hofmann, Walter Kellermann
2013 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics  
We also present a low complexity real-time implementation combining an offline-trained network with online adaptation, and investigate its performance in terms of echo suppression and speech distortion  ...  We propose a method for nonlinear residual echo suppression that consists of extracting spectral features from the far-end signal, and using an artificial neural network to model the residual echo magnitude  ...  The speech signals for the evaluation were recorded in a reverberant environment with T60 ≈ 0.3 s.  ... 
doi:10.1109/waspaa.2013.6701825 dblp:conf/waspaa/SchwarzHK13 fatcat:mkihbxb5mvffbh267jnp7mmapq

Nonlinear residual acoustic echo suppression for high levels of harmonic distortion

Diego A. Bendersky, Jack W. Stokes, Henrique S. Malvar
2008 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing  
Low-quality speakers and poorly-designed enclosures that produce vibrations often generate harmonic distortion, and this nonlinear effect degrades the performance of linear AEC algorithms considerably.  ...  In this work, we present a new AEC architecture that consists of a linear, subband adaptive AEC filter followed a nonlinear residual echo suppression (RES) stage specifically designed to address harmonic  ...  Common sources of nonlinear distortion include low-quality speakers, overpowered amplifiers and poorly-designed enclosures; even modest nonlinear distortion can degrade the performance of linear AEC models  ... 
doi:10.1109/icassp.2008.4517596 dblp:conf/icassp/BenderskySM08 fatcat:2gqq3wnjanf23dpzyi4eanmcoy

Characterisation and modelling of non-linear loudspeakers

Leela K. Gudupudi, Christophe Beaugeant, Nicholas Evans
2014 2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC)  
Results show the potential of the approach but also the challenge in estimating reliable non-linear models which accurately predict the response to complex real-speech inputs.  ...  Approaches to non-linear acoustic echo cancellation for mobile devices all require a reliable, non-linear model of the loudspeaker.  ...  One explanation for this behaviour lies in the wider variation in amplitude for speech signals compared to sine-sweep signals; lower amplitude speech signals may provoke significantly less non-linear distortion  ... 
doi:10.1109/iwaenc.2014.6953353 dblp:conf/iwaenc/GudupudiBE14 fatcat:pqkrvanmwjeljlc3tjhtkw2uj4

Pitch Analysis-Based Acoustic Echo Cancellation Over A Nonlinear Channel

Xiaojian Lu, B. Champagne
2002 Zenodo  
Publication in the conference proceedings of EUSIPCO, Toulouse, France, 2002  ...  These low-bit-rate codecs introduce severe distortions of the speech signal in terms of waveforms.  ...  In practice, the computational complexity of a pitch predictor is remarkably reduced by searching the pitch parameters in the following steps.  ... 
doi:10.5281/zenodo.54072 fatcat:gk7lnvjilbaopkpyzotjz7fqiq

Residual Echo Suppression Considering Harmonic Distortion and Temporal Correlation

Hyungchan Song, Jong Won Shin
2020 Applied Sciences  
To exploit residual echo estimates and microphone signals in past frames without the adverse effect of the near-end speech and noise, we adopt a double-talk detector which is tuned to have a low false  ...  In acoustic echo cancellation, a certain level of residual echo resides in the output of the linear echo canceller because of the nonlinearity of the power amplifier, loudspeaker, and acoustic transfer  ...  In addition to the temporal correlation of the far-end speech signal or the filtered version of it that can help the estimation of the residual echo, the nonlinear part of the echo signal may have its  ... 
doi:10.3390/app10155291 fatcat:zn5ftotiyrg5lhns7yhjfp27ri

Nonlinear Acoustic Echo Cancellation with Deep Learning [article]

Amir Ivry, Israel Cohen, Baruch Berdugo
2021 arXiv   pre-print
We propose a nonlinear acoustic echo cancellation system, which aims to model the echo path from the far-end signal to the near-end microphone in two parts.  ...  Second, the network is succeeded by a standard adaptive linear filter that constantly tracks the echo path between the loudspeaker output and the microphone.  ...  eliminating the term y (n) −ŷ (n), without distorting the speech signal s (n).  ... 
arXiv:2106.13754v1 fatcat:bawf5lciarf3nonzzjtbtqgaue

Acoustic echo suppression using a learning-based multi-frame minimum variance distortionless response filter [article]

Yuefeng Tsai, Yicheng Hsu, Mingsian Bai
2022 arXiv   pre-print
The MFMVDR filter with parameter estimation which was used in speech enhancement problems is extended in this study from a deep learning perspective.  ...  The negative scale-invariant signal-to-distortion ratio is employed as the loss function in training the network at the output of the MFMVDR filter.  ...  This work was supported by the Ministry of Science and Technology (MOST), Taiwan, under the project number 110-2221-E-007-027-MY3.  ... 
arXiv:2205.03594v1 fatcat:m753lkmq7ve6piwfoyhumx4rha

Experiments on RF Band Communications Using Chaos

A. S. Dmitriev, A. I. Panas, S. O. Starkov, L. V. Kuzmin
1997 International Journal of Bifurcation and Chaos in Applied Sciences and Engineering  
This paper presents experimental results of wire-line and wireless analog information transmission in RF band via chaos using standard signal formation and reception methods.  ...  This study is supported in part by a grant from the Russian Foundation for Fundamental  ...  Acknowledgments The authors would like to thank Yu. V. Andreyev for useful comments and help in preparing this paper.  ... 
doi:10.1142/s0218127497001680 fatcat:xhsi7zs5hfctnel3q43f5edzde

Complex Cepstrum Based Voice Conversion Using Radial Basis Function

Jagannath Nirmal, Suprava Patnaik, Mukesh Zaveri, Pramod Kachare
2014 ISRN Signal Processing  
The radial basis function is explored to capture the nonlinear mapping function for modifying the complex cepstrum based real and imaginary components of the vocal tract and source excitation of the speech  ...  The Mel log spectral approximation filter is used to reconstruct the speech signal from the modified Mel cepstrum envelope and fundamental frequency.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/357048 fatcat:7r7aeiqfubbujdavcaroy5s66u

On perceptual distortion measures and parametric modeling

Mads G. Christensen
2008 Journal of the Acoustical Society of America  
We discuss the inherent tradeoffs in choosing a perceptual distortion measure and a parametric model, and the pros and cons of various ways of implementing such perceptual distortion measures are discussed  ...  An important question that we seek to answer is whether perception should be taken into account in the estimation of model parameters or this should be done in a separate step.  ...  Therefore, if a low-order model is desired for low-complexity processing or transmission using a low bit-rate, such an approach is very convenient.  ... 
doi:10.1121/1.2935505 fatcat:zn5najbdabctlp5nyz3hzsmz4m

A Fast Gradient Approximation for Nonlinear Blind Signal Processing

Jordi Solé-Casals, Cesar F. Caiafa
2012 Cognitive Computation  
This is the case, for example, in speech processing, spike signals deconvolution or microarray data analysis.  ...  In this paper, we propose a simple method to reduce computational time for the inversion of Wiener systems or the separation of post-nonlinear mixtures, by using a linear approximation in a minimum-mutual  ...  Acknowledgements We would like to thank the anonymous Reviewers for their useful and insightful comments which helped us to considerably improve this work.  ... 
doi:10.1007/s12559-012-9192-x fatcat:ipyned4pvzewfcorqkk7eih4ya

Nonlinear Residual Echo Suppression Using a Recurrent Neural Network

Lukas Pfeifenberger, Franz Pernkopf
2020 Interspeech 2020  
We evaluate the performance of our system in terms of Echo Return Loss Enhancement (ERLE), Signal to Distortion Ratio (SDR) and Word Error Rate (WER), obtained during realistic double-talk situations.  ...  The acoustic front-end of hands-free communication devices introduces a variety of distortions to the linear echo path between the loudspeaker and the microphone.  ...  Ideally, the filter mismatchH and the non-linearity fNL(·) are small, so that the residual signal contains only the near-end speech signal S(k, t).  ... 
doi:10.21437/interspeech.2020-1473 dblp:conf/interspeech/PfeifenbergerP20 fatcat:5z3r6j6vgzdexbudzzdgayn23i

Digital predistortion based on envelope feedback

Jinhyun So, Sungho Choi, Seung Hyeok Ahn, Eui-Rim Jeong, Yong H. Lee
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
A new digital predistortion (DPD) technique based on envelope feedback is proposed for linearization of power amplifiers (PAs).  ...  It is shown that the complex envelope of the PA output can be estimated from the two envelope feedbacks if the sign of the phase distortion of the AM-PM characteristic remains the same for all PA input  ...  In this method, a post distorter in the feedback path is updated, and the parameters of the post distorter are copied to the DPD in the feedforward path as shown in Fig. 2 .  ... 
doi:10.1109/icassp.2012.6288588 dblp:conf/icassp/SoCAJL12 fatcat:axm6egnzrvgjbfbzq6qm4lurtu
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