Search Results for author: Ando Saabas

Found 9 papers, 5 papers with code

ICASSP 2024 Speech Signal Improvement Challenge

no code implementations25 Jan 2024 Nicolae Catalin Ristea, Ando Saabas, Ross Cutler, Babak Naderi, Sebastian Braun, Solomiya Branets

The ICASSP 2024 Speech Signal Improvement Grand Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.

ICASSP 2023 Acoustic Echo Cancellation Challenge

1 code implementation22 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.

Acoustic echo cancellation Speech Enhancement

ICASSP 2023 Speech Signal Improvement Challenge

no code implementations12 Mar 2023 Ross Cutler, Ando Saabas, Babak Naderi, Nicolae-Cătălin Ristea, Sebastian Braun, Solomiya Branets

The ICASSP 2023 Speech Signal Improvement Challenge is intended to stimulate research in the area of improving the speech signal quality in communication systems.

Deep model with built-in cross-attention alignment for acoustic echo cancellation

1 code implementation24 Aug 2022 Evgenii Indenbom, Nicolae-Cătălin Ristea, Ando Saabas, Tanel Pärnamaa, Jegor Gužvin

Since acoustic echo is one of the major sources of poor audio quality, a wide variety of deep models have been proposed.

Acoustic echo cancellation

ICASSP 2022 Acoustic Echo Cancellation Challenge

1 code implementation27 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.

Acoustic echo cancellation Speech Enhancement +2

AECMOS: A speech quality assessment metric for echo impairment

no code implementations6 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.

Crowdsourcing approach for subjective evaluation of echo impairment

1 code implementation25 Oct 2020 Ross Cutler, Babak Naderi, Markus Loide, Sten Sootla, Ando Saabas

The quality of acoustic echo cancellers (AECs) in real-time communication systems is typically evaluated using objective metrics like ERLE and PESQ, and less commonly with lab-based subjective tests like ITU-T Rec.

ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework

1 code implementation10 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

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