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You Zhang

University of Rochester

17 papers hereh-index 11776 citations24 works total

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

author position
  • first author6
  • middle author11

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • eess.AS12
  • cs.SD4
  • cs.CV1
affiliations
  • University of Rochester
same name
  • You Zhang — 11 papers, h 42
  • You Zhang — 9 papers, h 6
  • You Zhang — 8 papers, h 3
  • You Zhang — 5 papers, h 5
  • You Zhang — 3 papers, h 19
  • You Zhang — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedOne-class Learning Towards Synthetic Voice Spoofing Detection

211 citations · 382 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

eess.AS2023

Learning Arousal-Valence Representation from Categorical Emotion Labels of Speech

Enting Zhou, You Zhang, Zhiyao Duan

Dimensional representations of speech emotions such as the arousal-valence (AV) representation provide a continuous and fine-grained description and control than their categorical…

cs.SD2023★ 52 cited

SingFake: Singing Voice Deepfake Detection

Yongyi Zang, You Zhang, Mojtaba Heydari +1

The rise of singing voice synthesis presents critical challenges to artists and industry stakeholders over unauthorized voice usage. Unlike synthesized speech, synthesized singing…

eess.AS2023

Mitigating Cross-Database Differences for Learning Unified HRTF Representation

Yutong Wen, You Zhang, Zhiyao Duan

Individualized head-related transfer functions (HRTFs) are crucial for accurate sound positioning in virtual auditory displays. As the acoustic measurement of HRTFs is resource-int…

cs.SD2023★ 1 cited

Phase perturbation improves channel robustness for speech spoofing countermeasures

Yongyi Zang, You Zhang, Zhiyao Duan

In this paper, we aim to address the problem of channel robustness in speech countermeasure (CM) systems, which are used to distinguish synthetic speech from human natural speech.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.