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Liang He

4 papers hereh-index 9184 citations26 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.SD3
  • eess.AS1
same name
  • Liang He — 48 papers, h 14
  • Liang He — 30 papers, h 34
  • Liang He — 14 papers, h 16
  • Liang He — 14 papers, h 6
  • Liang He — 13 papers, h 8
  • Liang He — 11 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

most citedA Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition

13 citations · 25 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2025

VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge

Zijing Zhao, Kai Wang, Hao Huang +3

To explore the potential advantages of utilizing spatial cues from images for generating stereo singing voices with room reverberation, we introduce VS-Singer, a vision-guided mode…

cs.SD2022★ 1 cited

THUEE system description for NIST 2020 SRE CTS challenge

Yu Zheng, Jinghan Peng, Miao Zhao +7

This paper presents the system description of the THUEE team for the NIST 2020 Speaker Recognition Evaluation (SRE) conversational telephone speech (CTS) challenge. The subsystems…

eess.AS2022★ 13 cited

A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition

Ying Hu, Yuwu Tang, Hao Huang +1

Speech emotion recognition (SER) is an essential part of human-computer interaction. In this paper, we propose an SER network based on a Graph Isomorphism Network with Weighted Mul…

cs.SD2022★ 11 cited

A Multi-grained based Attention Network for Semi-supervised Sound Event Detection

Ying Hu, Xiujuan Zhu, Yunlong Li +2

Sound event detection (SED) is an interesting but challenging task due to the scarcity of data and diverse sound events in real life. This paper presents a multi-grained based atte…

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