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.
no code implementations • 5 Jun 2023 • Evgenii Indenbom, Nicolae-Catalin Ristea, Ando Saabas, Tanel Parnamaa, Jegor Guzvin, Ross Cutler
Acoustic echo cancellation (AEC), noise suppression (NS) and dereverberation (DR) are an integral part of modern full-duplex communication systems.
no code implementations • 4 Nov 2022 • Sefik Emre Eskimez, Takuya Yoshioka, Alex Ju, Min Tang, Tanel Parnamaa, Huaming Wang
Personalized speech enhancement (PSE) is a real-time SE approach utilizing a speaker embedding of a target person to remove background noise, reverberation, and interfering voices.
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.
1 code implementation • 10 Sep 2020 • Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan
In this challenge, we open source two large datasets to train AEC models under both single talk and double talk scenarios.
Acoustic echo cancellation Audio and Speech Processing Sound