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Filters
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
[article]
2021
arXiv
pre-print
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We introduce a synergistic approach to double-talk robust acoustic echo cancellation combining adaptive Kalman filtering with a deep neural network-based postfilter. ...
This is achieved by leveraging the postfilter near-end estimate and the estimation error of the Kalman filter. ...
ACOUSTIC ECHO CANCELLATION MODEL The considered AEC architecture is depicted in Fig. 1 . ...
arXiv:2012.08867v2
fatcat:qx3hmje7tnf33p3vkrptcdygwi
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering
[article]
2022
arXiv
pre-print
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Although today's speech communication systems support various bandwidths from narrowband to super-wideband and beyond, state-of-the art DNN methods for acoustic echo cancellation (AEC) are lacking modularity ...
On the ICASSP 2022 Acoustic Echo Cancellation Challenge blind test set we report a competitive performance, showing robustness even under highly delayed echo and dynamic echo path changes. ...
Our work takes on this approach, providing a modular and bandwidthscalable solution to deep acoustic echo cancellation (AEC) and postfiltering (PF) employing blind bandwidth extension beyond 8 kHz. ...
arXiv:2205.04276v1
fatcat:be5vlnzru5d5hjqbi65dcrkcpu
EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation
[article]
2021
arXiv
pre-print
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Linear adaptive filter (AF) is always used for handling this problem. ...
Acoustic Echo Cancellation (AEC) whose aim is to suppress the echo originated from acoustic coupling between loudspeakers and microphones, plays a key role in voice interaction. ...
Since there is a reference signal named the far-end, adaptive filters are always employed for estimating acoustic echo, thus achieving acoustic echo cancellation (AEC) by subtracting the estimation from ...
arXiv:2105.14666v1
fatcat:vzaz347kejbk5ag63jlgqiqj5e
Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System
[article]
2022
arXiv
pre-print
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Deep neural network (DNN)-based approaches to acoustic echo cancellation (AEC) and hybrid speech enhancement systems have gained increasing attention recently, introducing significant performance improvements ...
contrast to often seen input combinations for this task, we propose not to use the loudspeaker reference signal, but the enhanced signal after AEC, the microphone signal, and the echo estimate, yielding ...
to as acoustic echo cancellation (AEC) and is typically performed with a linear adaptive filter. ...
arXiv:2108.03051v2
fatcat:rvgyfsdya5fixmueitiivyw3wa
Y^2-Net FCRN for Acoustic Echo and Noise Suppression
[article]
2021
arXiv
pre-print
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In recent years, deep neural networks (DNNs) were studied as an alternative to traditional acoustic echo cancellation (AEC) algorithms. ...
loss for echo estimation. ...
Accordingly, acoustic echo cancellation (AEC) is a widely researched topic. ...
arXiv:2103.17189v2
fatcat:cti2unioevaxffoxn33zgd4aka
AEC in a NetShell: On Target and Topology Choices for FCRN Acoustic Echo Cancellation
[article]
2021
arXiv
pre-print
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Just recently, very first deep neural network (DNN)-based approaches were proposed with a DNN for joint AEC and residual echo suppression (RES)/noise reduction, showing significant improvements in terms ...
Acoustic echo cancellation (AEC) algorithms have a long-term steady role in signal processing, with approaches improving the performance of applications such as automotive hands-free systems, smart home ...
With acoustic echo cancellation (AEC) algorithms having a steady role in signal processing over the past decades, these algorithms typically deploy an adaptive filter to estimate the impulse response ( ...
arXiv:2103.09007v1
fatcat:zfawwnzdurc7hnisuhlthob6ky
Acoustic Self-Awareness of Autonomous Systems in a World of Sounds
2020
Proceedings of the IEEE
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filtering, source separation, noise suppression, dereverberation, and echo cancellation. ...
As a first step, the state of the art of relevant generic techniques for acoustic scene analysis (ASA) is reviewed, i.e., source localization and the various facets of signal enhancement, including spatial ...
Postfiltering is common for suppressing residual echoes after echo cancellation [143] , [147] . ...
doi:10.1109/jproc.2020.2977372
fatcat:immaqhfnkna6xdwj3dqlh7qewi
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification
[article]
2022
arXiv
pre-print
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We present a novel end-to-end deep learning-based adaptation control algorithm for frequency-domain adaptive system identification. ...
The proposed method exploits a deep neural network to map observed signal features to corresponding step-sizes which control the filter adaptation. ...
INTRODUCTION Adaptive system identification is required for many modern signal enhancement approaches, e.g., in full-duplex acoustic communication devices for the purpose of acoustic echo cancellation ...
arXiv:2106.01262v3
fatcat:3lflbfqki5cx3kuqvlr3zkwyq4
Connecting partitioned frequency-domain filters in parallel or in cascade
2000
IEEE transactions on circuits and systems - 2, Analog and digital signal processing
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Partitioned frequency-domain adaptive filters, also known as multidelay adaptive filters, provide an efficient way for the filtering and adaptation with long filters maintaining short processing delays ...
The filtering and adaptation is carried out very efficiently in the frequency domain whenever filters with many coefficients are required. ...
In other acoustical applications, e.g., teleconferencing systems, two adaptive systems are connected together, an echo canceller and a multichannel blind deconvolution stage [12] - [15] . ...
doi:10.1109/82.861401
fatcat:y52oz7ij4rhjrkvm56ljgvgr5q
A Consolidated Perspective on Multimicrophone Speech Enhancement and Source Separation
2017
IEEE/ACM Transactions on Audio Speech and Language Processing
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In this article, we propose to fill this gap by analyzing a large number of established and recent techniques according to four transverse axes: a) the acoustic impulse response model, b) the spatial filter ...
design criterion, c) the parameter estimation algorithm, and d) optional postfiltering. ...
It was proposed in [251] to substitute the Wiener filter proposed by Zelinski, by a combined spectral subtraction and Wiener postfilter. ...
doi:10.1109/taslp.2016.2647702
fatcat:ltfmmoguxngk5jrvzy7azzufae
Audio source separation into the wild
[chapter]
2019
Multimodal Behavior Analysis in the Wild
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We will explore several important practical scenarios, e.g. moving sources and/or microphones, varying number of sources and sensors, high reverberation levels, spatially diffuse sources, and synchronization ...
We explore some of the major achievements in the field and discuss some of the remaining challenges. ...
This noise is reduced by a combination of an MVDR beamformer and a postfilter. ...
doi:10.1016/b978-0-12-814601-9.00022-5
fatcat:zvc74jczyvg67ifxq3seouigfi
Microphone Array Processing for Distant Speech Recognition: From Close-Talking Microphones to Far-Field Sensors
2012
IEEE Signal Processing Magazine
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In particular, we present recent work on acoustic beamforming for DSR, along with experimental results verifying the effectiveness of the various algorithms described here; beginning from a word error ...
Speaker Tracker Beamformer Post-filter Speech Recognizer Microphone Array Multi-channel Data Fig. 1 . Block diagram of a typical DSR system. ...
Subband adaptive filtering can reduce the computational complexity associated with time domain adaptive filters and improve convergence rate in estimating filter coefficients. ...
doi:10.1109/msp.2012.2205285
fatcat:h6tz6el73nbgjlttqlvqsgrlcq
Enhanced Voice Post Processing Using Voice Decoder Guidance Indicators
[article]
2019
arXiv
pre-print
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Voice enhancement and voice coding are imperative and important functions in a voice-communication system. ...
Specifically, our proposed changes are focused on changes to the voice enhancement at the downlink side and utilizing information of the voice decoding. ...
Extracting pitch and linear prediction coefficient is compute intensive, and leveraging precomputed values will reduce the computational complexity of the voiceenhancement. ...
arXiv:1911.05560v1
fatcat:l6a72oehunhhvmj7gn3fq3i5nu
Automatic Parameter Switching of Noise Reduction for Speech Recognition
2017
Journal of Signal Processing
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The proposed method assigns the most suitable parameter set to each speech sentence by measuring and grouping the characteristics of noise observed in each sentence. ...
We propose a method for automatically switching noise-reduction parameters in such a way that ASR accuracy is maximized. ...
., who was earlier at NTT Media Intelligence Laboratories, and Dr. Masumura and Mr. Asami at NTT Media Intelligence Laboratories for their valuable comments. ...
doi:10.2299/jsp.21.63
fatcat:rssnhjz3cfe3bndealyktrax5e
The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes
2017
Computer Speech and Language
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First, it provides a definitive reference for the challenge, including full descriptions of the task design, data capture and baseline systems along with a description and evaluation of the 26 systems ...
By comparing across systems, techniques that are essential for strong performance are identified. ...
Live recording has allowed the full complexity of acoustic mixing and active talking effects to be captured. ...
doi:10.1016/j.csl.2016.10.005
fatcat:xvlahbrxkbb2vg3by2bcjgfkhy
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