1 code implementation • 22 Sep 2023 • Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Evgenii Indenbom, Nicolae-Catalin Ristea, Jegor Gužvin, Hannes Gamper, Sebastian Braun, Robert Aichner
This is the fourth AEC challenge and it is enhanced by adding a second track for personalized acoustic echo cancellation, reducing the algorithmic + buffering latency to 20ms, as well as including a full-band version of AECMOS.
1 code implementation • 27 Feb 2022 • Ross Cutler, Ando Saabas, Tanel Parnamaa, Marju Purin, Hannes Gamper, Sebastian Braun, Karsten Sørensen, Robert Aichner
This is the third AEC challenge and it is enhanced by including mobile scenarios, adding speech recognition rate in the challenge goal metrics, and making the default sample rate 48 kHz.
no code implementations • 6 Oct 2021 • Marju Purin, Sten Sootla, Mateja Sponza, Ando Saabas, Ross Cutler
Traditionally, the quality of acoustic echo cancellers is evaluated using intrusive speech quality assessment measures such as ERLE \cite{g168} and PESQ \cite{p862}, or by carrying out subjective laboratory tests.