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Bowen Zhang

3 papers hereh-index 226 citations5 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS1
same name
  • Bowen Zhang — 24 papers, h 15
  • Bowen Zhang — 10 papers, h 14
  • Bowen Zhang — 10 papers, h 4
  • Bowen Zhang — 9 papers, h 3
  • Bowen Zhang — 8 papers, h 6
  • Bowen Zhang — 7 papers

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 citedHAM-TTS: Hierarchical Acoustic Modeling for Token-Based Zero-Shot Text-to-Speech with Model and Data Scaling

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

collaborators

3 papers

eess.AS2025

Semantic-VAE: Semantic-Alignment Latent Representation for Better Speech Synthesis

Zhikang Niu, Shujie Hu, Jeongsoo Choi +8

Mel-spectrograms have been widely used in zero-shot text-to-speech (TTS); their inherent redundancy leads to inefficiency in text-speech alignment. Compact VAE-based latent represe…

cs.SD2025

Cross-Lingual F5-TTS: Towards Language-Agnostic Voice Cloning and Speech Synthesis

Qingyu Liu, Yushen Chen, Zhikang Niu +7

Flow-matching-based text-to-speech (TTS) models have shown high-quality speech synthesis. However, most current flow-matching-based TTS models still rely on reference transcripts c…

cs.SD2024★ 1 cited

HAM-TTS: Hierarchical Acoustic Modeling for Token-Based Zero-Shot Text-to-Speech with Model and Data Scaling

Chunhui Wang, Chang Zeng, Bowen Zhang +6

Token-based text-to-speech (TTS) models have emerged as a promising avenue for generating natural and realistic speech, yet they grapple with low pronunciation accuracy, speaking s…

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