1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SD2023★ 1 cited
Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms
Joseph Konan, Ojas Bhargave, Shikhar Agnihotri +12
In this paper, we present a method for fine-tuning models trained on the Deep Noise Suppression (DNS) 2020 Challenge to improve their performance on Voice over Internet Protocol (V…
cs.SD2023★ 1 cited
Speech Enhancement for Virtual Meetings on Cellular Networks
Hojeong Lee, Minseon Gwak, Kawon Lee +3
We study speech enhancement using deep learning (DL) for virtual meetings on cellular devices, where transmitted speech has background noise and transmission loss that affects spee…
cs.SD2023
Cellular Network Speech Enhancement: Removing Background and Transmission Noise
Amanda Shu, Hamza Khalid, Haohui Liu +3
The primary objective of speech enhancement is to reduce background noise while preserving the target's speech. A common dilemma occurs when a speaker is confined to a noisy enviro…