Icassp 2023 acoustic echo cancellation challenge
The ICASSP 2023 Acoustic Echo Cancellation Challenge is intended to stimulate research
in acoustic echo cancellation (AEC), which is an important area of speech enhancement and …
in acoustic echo cancellation (AEC), which is an important area of speech enhancement and …
Neural cascade architecture for multi-channel acoustic echo suppression
Traditional acoustic echo cancellation (AEC) works by identifying an acoustic impulse
response using adaptive algorithms. This paper proposes a neural cascade architecture for …
response using adaptive algorithms. This paper proposes a neural cascade architecture for …
AECMOS: A speech quality assessment metric for echo impairment
Traditionally, the quality of acoustic echo cancellers is evaluated using intrusive speech
quality assessment measures such as ERLE [1] and PESQ [2], or by carrying out subjective …
quality assessment measures such as ERLE [1] and PESQ [2], or by carrying out subjective …
Multi-task deep residual echo suppression with echo-aware loss
This paper introduces the NWPU Team's entry to the ICASSP 2022 AEC Challenge. We take
a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to …
a hybrid approach that cascades a linear AEC with a neural post-filter. The former is used to …
FT-LSTM based complex network for joint acoustic echo cancellation and speech enhancement
With the increasing demand for audio communication and online conference, ensuring the
robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario …
robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario …
[PDF][PDF] Acoustic Echo Cancellation Using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information.
This paper describes a two-stage acoustic echo cancellation (AEC) and suppression
framework for the INTERSPEECH2021 AEC Challenge. In the first stage, four parallel …
framework for the INTERSPEECH2021 AEC Challenge. In the first stage, four parallel …
ICASSP 2024 speech signal improvement challenge
The ICASSP 2024 Speech Signal Improvement Challenge aims to advance research in
enhancing speech signal quality within communication systems. The speech signal quality …
enhancing speech signal quality within communication systems. The speech signal quality …
Task splitting for dnn-based acoustic echo and noise removal
S Braun, ML Valero - 2022 International Workshop on Acoustic …, 2022 - ieeexplore.ieee.org
Neural networks have led to tremendous performance gains for single-task speech
enhancement, such as noise suppression and acoustic echo cancellation (AEC). In this …
enhancement, such as noise suppression and acoustic echo cancellation (AEC). In this …
Nonlinear acoustic echo cancellation with deep learning
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. Inspired by the …
path from the far-end signal to the near-end microphone in two parts. Inspired by the …
Ultra dual-path compression for joint echo cancellation and noise suppression
Echo cancellation and noise reduction are essential for full-duplex communication, yet most
existing neural networks have high computational costs and are inflexible in tuning model …
existing neural networks have high computational costs and are inflexible in tuning model …