This paper proposes an encoder-decoder network for acoustic echo cancellation with mutli-scale refinement paths to exploit the information at different feature ...
Acoustic echo cancellation is designed to remove echo, reverberation and environment noise. The traditional AEC approach is based on adaptive filters to model ...
May 31, 2021 · In this paper, we constructed an end-to-end multi-scale attention neural network for AEC. Temporal convolution is first used to transform waveform into ...
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Sep 5, 2024 · Echo cancellation plays a crucial role in modern speech appli- cations. Numerous deep-learning models have been developed.
In this study, we propose a multi-stage acoustic echo cancellation model that utilizes an adaptive filter and a deep neural network.
MULTI-SCALE REFINEMENT NETWORK BASED ACOUSTIC ECHO CANCELLATION. Fan Cui, Liyong Guo, Wenfeng Li, Peng Gao, Yujun Wang, Xiaomi Inc, China. Session: Acoustic ...
In this study, we propose a multi-stage acoustic echo cancellation model that utilizes an adaptive filter and a deep neural network. Our model consists of two ...
Multi-scale refinement network based acoustic echo cancellation. F Cui, L Guo ... Relate auditory speech to EEG by shallow-deep attention-based network.
Recent studies in deep learning based acoustic echo cancella- tion proves the benefits of introducing a linear echo cancella- tion module.
While digital signal processing (DSP) based AEC models have been used to remove these echoes during calls, their performance can degrade when model assumptions ...