Search Results for author: Hannes Gamper

Found 7 papers, 5 papers with code

ICASSP 2022 Deep Noise Suppression Challenge

1 code implementation27 Feb 2022 Harishchandra Dubey, Vishak Gopal, Ross Cutler, Ashkan Aazami, Sergiy Matusevych, Sebastian Braun, Sefik Emre Eskimez, Manthan Thakker, Takuya Yoshioka, Hannes Gamper, Robert Aichner

We open-source datasets and test sets for researchers to train their deep noise suppression models, as well as a subjective evaluation framework based on ITU-T P. 835 to rate and rank-order the challenge entries.

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

Effect of noise suppression losses on speech distortion and ASR performance

no code implementations23 Nov 2021 Sebastian Braun, Hannes Gamper

Deep learning based speech enhancement has made rapid development towards improving quality, while models are becoming more compact and usable for real-time on-the-edge inference.

Automatic Speech Recognition Event Detection +3

Towards efficient models for real-time deep noise suppression

no code implementations22 Jan 2021 Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy, Ivan Tashev

It is shown that the achievable speech quality is a function of network complexity, and show which models have better tradeoffs.

Speech Enhancement

Interspeech 2021 Deep Noise Suppression Challenge

2 code implementations6 Jan 2021 Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida, Arun Nair, Vishak Gopal, Ross Cutler, Sebastian Braun, Hannes Gamper, Robert Aichner, Sriram Srinivasan

In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios.


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

Fast acoustic scattering using convolutional neural networks

1 code implementation30 Oct 2019 Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi

Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation.

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