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Shujie Liu

19 papers hereh-index 8312 citations23 works total

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

author position
  • middle author18
  • last author1

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.SD6
  • eess.AS4
  • cs.LG2
  • cs.AI1
same name
  • Shujie Liu — 70 papers, h 34
  • Shujie Liu — 28 papers, h 36
  • Shujie Liu — 3 papers, h 2
  • Shujie Liu — 2 papers, h 1
  • Shujie Liu — 1 paper
  • Shujie Liu — 1 paper, h 2

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
20242026
most citedWavChat: A Survey of Spoken Dialogue Models

2 citations · 4 across the 18 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2025

Position: Towards Responsible Evaluation for Text-to-Speech

Yifan Yang, Hui Wang, Bing Han +4

Recent advances in text-to-speech (TTS) technology have enabled systems to generate speech that is often indistinguishable from human speech, bringing benefits to accessibility, co…

eess.AS2025

Pseudo-Autoregressive Neural Codec Language Models for Efficient Zero-Shot Text-to-Speech Synthesis

Yifan Yang, Shujie Liu, Jinyu Li +10

Recent zero-shot text-to-speech (TTS) systems face a common dilemma: autoregressive (AR) models suffer from slow generation and lack duration controllability, while non-autoregress…

eess.AS2025★ 1 cited

Recent Advances in Discrete Speech Tokens: A Review

Yiwei Guo, Zhihan Li, Hankun Wang +7

The rapid advancement of speech generation technologies in the era of large language models (LLMs) has established discrete speech tokens as a foundational paradigm for speech repr…

eess.AS2024★ 2 cited

WavChat: A Survey of Spoken Dialogue Models

Shengpeng Ji, Yifu Chen, Minghui Fang +16

Recent advancements in spoken dialogue models, exemplified by systems like GPT-4o, have captured significant attention in the speech domain. Compared to traditional three-tier casc…

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