activity
20192024
most citedThe INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

65 citations · 96 across the 17 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

eess.AS2021

Effect of noise suppression losses on speech distortion and ASR performance

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.…

eess.AS2021★ 1 cited

Unsupervised Speech Enhancement with speech recognition embedding and disentanglement losses

Viet Anh Trinh, Sebastian Braun

Speech enhancement has recently achieved great success with various deep learning methods. However, most conventional speech enhancement systems are trained with supervised methods…

eess.AS2021

Performance optimizations on deep noise suppression models

Jerry Chee, Sebastian Braun, Vishak Gopal +1

We study the role of magnitude structured pruning as an architecture search to speed up the inference time of a deep noise suppression (DNS) model. While deep learning approaches h…

eess.AS2021

Low complexity online convolutional beamforming

Sebastian Braun, Ivan Tashev

Convolutional beamformers integrate the multichannel linear prediction model into beamformers, which provide good performance and optimality for joint dereverberation and noise red…

eess.AS2021

On training targets for noise-robust voice activity detection

Sebastian Braun, Ivan Tashev

The task of voice activity detection (VAD) is an often required module in various speech processing, analysis and classification tasks. While state-of-the-art neural network based…

eess.AS2021

Towards efficient models for real-time deep noise suppression

Sebastian Braun, Hannes Gamper, Chandan K. A. Reddy +1

With recent research advancements, deep learning models are becoming attractive and powerful choices for speech enhancement in real-time applications. While state-of-the-art models…

cs.SD2021

Interspeech 2021 Deep Noise Suppression Challenge

Chandan K A Reddy, Harishchandra Dubey, Kazuhito Koishida +7

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. We recently organized a…