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He Huang

18 papers hereh-index 10327 citations21 works total

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

author position
  • first author1
  • middle author16
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • eess.AS10
  • cs.CL5
  • cs.CV1
  • cs.LG1
  • cs.SD1
same name
  • He Huang — 10 papers, h 12
  • He Huang — 8 papers, h 3
  • He Huang — 8 papers, h 4
  • He Huang — 6 papers, h 5
  • He Huang — 5 papers, h 6
  • He Huang — 5 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
20232026
collaborators
Showing 2025 · eess.ASShow all

4 papers · 2 filters

eess.AS2025

Discrete Diffusion for Generative Modeling of Text-Aligned Speech Tokens

Pin-Jui Ku, He Huang, Jean-Marie Lemercier +3

This paper introduces a discrete diffusion model (DDM) framework for text-aligned speech tokenization and reconstruction. By replacing the auto-regressive speech decoder with a dis…

eess.AS2025

Streaming Sortformer: Speaker Cache-Based Online Speaker Diarization with Arrival-Time Ordering

Ivan Medennikov, Taejin Park, Weiqing Wang +5

This paper presents a streaming extension for the Sortformer speaker diarization framework, whose key property is the arrival-time ordering of output speakers. The proposed approac…

eess.AS2025

Recent Trends in Distant Conversational Speech Recognition: A Review of CHiME-7 and 8 DASR Challenges

Samuele Cornell, Christoph Boeddeker, Taejin Park +9

The CHiME-7 and 8 distant speech recognition (DASR) challenges focus on multi-channel, generalizable, joint automatic speech recognition (ASR) and diarization of conversational spe…

eess.AS2025

Speaker Targeting via Self-Speaker Adaptation for Multi-talker ASR

Weiqing Wang, Taejin Park, Ivan Medennikov +6

We propose a self-speaker adaptation method for streaming multi-talker automatic speech recognition (ASR) that eliminates the need for explicit speaker queries. Unlike conventional…

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