Automated beehive acoustics monitoring: A comprehensive review of the literature and recommendations for future work

M Abdollahi, P Giovenazzo, TH Falk - Applied Sciences, 2022 - mdpi.com
Bees play an important role in agriculture and ecology, and their pollination efficiency is
essential to the economic profitability of farms. The drastic decrease in bee populations …

Icassp 2023 deep noise suppression challenge

H Dubey, A Aazami, V Gopal, B Naderi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
The ICASSP 2023 Deep Noise Suppression (DNS) Challenge marks the fifth edition of the
DNS challenge series. DNS challenges were organized from 2019 to 2023 to foster …

Icassp 2023 acoustic echo cancellation challenge

R Cutler, A Saabas, T Pärnamaa… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
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 …

[PDF][PDF] INTERSPEECH 2021 Acoustic Echo Cancellation Challenge.

R Cutler, A Saabas, T Pärnamaa, M Loide, S Sootla… - Interspeech, 2021 - isca-archive.org
Abstract The INTERSPEECH 2021 Acoustic Echo Cancellation Challenge is intended to
stimulate research in the area of acoustic echo cancellation (AEC), which is an important …

Acoustic echo cancellation with the dual-signal transformation LSTM network

NL Westhausen, BT Meyer - ICASSP 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
This paper applies the dual-signal transformation LSTM network (DTLN) to the task of real-
time acoustic echo cancellation (AEC). The DTLN combines a short-time Fourier transform …

Low-complexity, real-time joint neural echo control and speech enhancement based on percepnet

JM Valin, S Tenneti, K Helwani, U Isik… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Speech enhancement algorithms based on deep learning have greatly surpassed their
traditional counterparts and are now being considered for the task of removing acoustic …

Neural cascade architecture for multi-channel acoustic echo suppression

H Zhang, DL Wang - IEEE/ACM Transactions on Audio, Speech …, 2022 - ieeexplore.ieee.org
Traditional acoustic echo cancellation (AEC) works by identifying an acoustic impulse
response using adaptive algorithms. This paper proposes a neural cascade architecture for …

AECMOS: A speech quality assessment metric for echo impairment

M Purin, S Sootla, M Sponza… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
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 …

Multi-task deep residual echo suppression with echo-aware loss

S Zhang, Z Wang, J Sun, Y Fu, B Tian… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
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 …

FT-LSTM based complex network for joint acoustic echo cancellation and speech enhancement

S Zhang, Y Kong, S Lv, Y Hu, L Xie - arXiv preprint arXiv:2106.07577, 2021 - arxiv.org
With the increasing demand for audio communication and online conference, ensuring the
robustness of Acoustic Echo Cancellation (AEC) under the complicated acoustic scenario …