most citedST-BERT: Cross-modal Language Model Pre-training For End-to-end Spoken Language Understanding

3 citations · 5 across the 3 of their papers we have counts for

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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…