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YUNYANG ZENG

Carnegie Mellon University

4 papers hereh-index 219 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SD3
  • cs.CL1
affiliations
  • Carnegie Mellon University

identity via Semantic Scholar / OpenAlex

most citedTAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2023

Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms

Joseph Konan, Shikhar Agnihotri, Ojas Bhargave +4

Within the ambit of VoIP (Voice over Internet Protocol) telecommunications, the complexities introduced by acoustic transformations merit rigorous analysis. This research, rooted i…

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

PAAPLoss: A Phonetic-Aligned Acoustic Parameter Loss for Speech Enhancement

Muqiao Yang, Joseph Konan, David Bick +5

Despite rapid advancement in recent years, current speech enhancement models often produce speech that differs in perceptual quality from real clean speech. We propose a learning o…

cs.CL2023★ 1 cited

TAPLoss: A Temporal Acoustic Parameter Loss for Speech Enhancement

Yunyang Zeng, Joseph Konan, Shuo Han +5

Speech enhancement models have greatly progressed in recent years, but still show limits in perceptual quality of their speech outputs. We propose an objective for perceptual quali…

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