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Zhen Xiao

4 papers here

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

author position
  • middle author4

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

fields
  • eess.AS3
  • cs.CV1
ORCID 0000-0003-3832-3916
same name
  • Zhen Xiao — 7 papers, h 22
  • Zhen Xiao — 2 papers
  • Zhen Xiao — 1 paper
  • Zhen Xiao — 1 paper, h 4

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 citedMaking Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

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

collaborators

4 papers

cs.CV2024

Exploring Robust Face-Voice Matching in Multilingual Environments

Jiehui Tang, Xiaofei Wang, Zhen Xiao +3

This paper presents Team Xaiofei's innovative approach to exploring Face-Voice Association in Multilingual Environments (FAME) at ACM Multimedia 2024. We focus on the impact of dif…

eess.AS2024

Laugh Now Cry Later: Controlling Time-Varying Emotional States of Flow-Matching-Based Zero-Shot Text-to-Speech

Haibin Wu, Xiaofei Wang, Sefik Emre Eskimez +8

People change their tones of voice, often accompanied by nonverbal vocalizations (NVs) such as laughter and cries, to convey rich emotions. However, most text-to-speech (TTS) syste…

eess.AS2024

Total-Duration-Aware Duration Modeling for Text-to-Speech Systems

Sefik Emre Eskimez, Xiaofei Wang, Manthan Thakker +9

Accurate control of the total duration of generated speech by adjusting the speech rate is crucial for various text-to-speech (TTS) applications. However, the impact of adjusting t…

eess.AS2024★ 1 cited

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

Naoyuki Kanda, Xiaofei Wang, Sefik Emre Eskimez +12

Laughter is one of the most expressive and natural aspects of human speech, conveying emotions, social cues, and humor. However, most text-to-speech (TTS) systems lack the ability…

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