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Feng Hong

4 papers hereh-index 233 citations5 works total

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
  • cs.SD2
  • cs.CL1
  • eess.AS1
same name
  • Feng Hong — 17 papers, h 8
  • Feng Hong — 4 papers, h 1
  • Feng Hong — 3 papers, h 1
  • Feng Hong — 2 papers, h 3
  • Feng Hong — 2 papers, h 0
  • Feng Hong — 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

activity
20212026
most citedThe Multi-speaker Multi-style Voice Cloning Challenge 2021

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

collaborators

4 papers

cs.CL2026

Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference

Yushi Ye, Feng Hong, Huangjie Zheng +4

Diffusion Large Language Models (DLLMs) promise fast non-autoregressive inference but suffer a severe quality-speed trade-off in parallel decoding. This stems from the ''combinator…

cs.SD2024★ 1 cited

A framework of text-dependent speaker verification for chinese numerical string corpus

Litong Zheng, Feng Hong, Weijie Xu +1

The Chinese numerical string corpus, serves as a valuable resource for speaker verification, particularly in financial transactions. Researches indicate that in short speech scenar…

cs.SD2023

A text-dependent speaker verification application framework based on Chinese numerical string corpus

Litong Zheng, Feng Hong, Weijie Xu

Researches indicate that text-dependent speaker verification (TD-SV) often outperforms text-independent verification (TI-SV) in short speech scenarios. However, collecting large-sc…

eess.AS2021★ 3 cited

The Multi-speaker Multi-style Voice Cloning Challenge 2021

Qicong Xie, Xiaohai Tian, Guanghou Liu +9

The Multi-speaker Multi-style Voice Cloning Challenge (M2VoC) aims to provide a common sizable dataset as well as a fair testbed for the benchmarking of the popular voice cloning t…

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