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Found 8 papers, 2 papers with code
End-To-End Deep Learning-based Adaptation Control for Linear Acoustic Echo Cancellation
To obtain precise echo estimates, the parameters of the echo canceler, i. e., the filter coefficients, need to be estimated quickly and precisely from the observed loudspeaker and microphone signals.
Localizing Spatial Information in Neural Spatiospectral Filters
Beamforming for multichannel speech enhancement relies on the estimation of spatial characteristics of the acoustic scene.
A Unifying View on Blind Source Separation of Convolutive Mixtures based on Independent Component Analysis
Most of the currently used algorithms belong to one of the following three families: Frequency Domain ICA (FD-ICA), Independent Vector Analysis (IVA), and TRIple-N Independent component analysis for CONvolutive mixtures (TRINICON).
Joint Acoustic Echo Cancellation and Blind Source Extraction based on Independent Vector Extraction
We describe a joint acoustic echo cancellation (AEC) and blind source extraction (BSE) approach for multi-microphone acoustic frontends.
Deep Learning-Based Joint Control of Acoustic Echo Cancellation, Beamforming and Postfiltering
We introduce a novel method for controlling the functionality of a hands-free speech communication device which comprises a model-based acoustic echo canceller (AEC), minimum variance distortionless response (MVDR) beamformer (BF) and spectral postfilter (PF).
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification
We present a novel end-to-end deep learning-based adaptation control algorithm for frequency-domain adaptive system identification.
Online Acoustic System Identification Exploiting Kalman Filtering and an Adaptive Impulse Response Subspace Model
The proposed method assumes that the variability of AIRs of an acoustic scene is confined to a low-dimensional manifold which is embedded in a high-dimensional space of possible AIR estimates.
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
We introduce a synergistic approach to double-talk robust acoustic echo cancellation combining adaptive Kalman filtering with a deep neural network-based postfilter.
