2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | June 2021 Organized by IEEE 下载BibTex The ICASSP 2021 Acoustic Echo Cancellation Challenge is intended to stimulate research in the area of acoustic echo cancellation (AEC),...
Task splitting for DNN-based acoustic echo and noise removal Task splitting for DNN-based acoustic echo and noise removal Sebastian Braun, Maria Luis Valero IWAENC|September 2022 Organized by IEEE
PSE models require an acoustic echo cancellation (AEC) capability. In this work, we employ a recently proposed causal end-to-end enhancement network (E3Net) and modify it to obtain a joint PSE-AEC model. We dedicate the early layers to the AEC task while enc...
PSE models require an acoustic echo cancellation (AEC) capability. In this work, we employ a recently proposed causal end-to-end enhancement network (E3Net) and modify it to obtain a joint PSE-AEC model. We dedicate the early layers to the AEC task while encouraging later layers for persona...
Personalized speech enhancement (PSE), a process of estimating a clean target speech signal in real time by leveraging a speaker embedding vector of the target talker, has garnered much attention from the research community due to the recent surge of...