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Sheng Zhao

Sheng Zhao has 2 papers in our library, in 2023–2025, most of them on Speech & spoken language, Language models & pretraining, Efficient models & compression; often with Jinyu Li, Long Zhou, Sanyuan Chen.

2 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 29 · 124 works · 4,138 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 278 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4573

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Microsoft Research AsiaBeijing · China2004–2026 · 9 paperscurrent🏢China North Industries Group CorporationBeijing · China2025–2026 · 3 paperscurrent🔬Northwest Institute of Mechanical and Electrical EngineeringXianyang · China2025–2026 · 2 paperscurrent🎓South China University of TechnologyGuangzhou · China2023–2026 · 2 paperscurrent🏢MicrosoftRedmond · United States2019–2025 · 48 papers🎓Wenzhou UniversityWenzhou · China2023–2025 · 6 papers🎓Shanghai Jiao Tong UniversityShanghai · China2023–2025 · 5 papers🎓Tsinghua UniversityBeijing · China2021–2025 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksMedicine · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 2 worksPhysiology · 1 workPsychology · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 2 worksLanguage models & pretraining · 1 workEfficient models & compression · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (2023 · 335 citations)
    Zero-shot text-to-speech means reproducing a voice the system never saw during training. Earlier approaches relied on speaker adaptation or dedicated speaker encoders. Models trained on small, studio-clean corpora tend to generalize poorly to new speakers.
  2. Autoregressive Speech Synthesis without Vector Quantization (2025 · 25 citations)
    Codec-based zero-shot TTS systems such as VALL-E represent speech as vector-quantized tokens. These tokens lose fidelity compared with continuous features. Sampling from them can also produce silences or noise loops, and the systems need a two-pass AR+NAR decoder. MELLE removes quantization entirely: a single…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Neural Speech Synthesis with Transformer Network ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetNaihan Li et al.2019 · 778 citations
  2. Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersarXiv:2301.02111Chengyi Wang, Sanyuan Chen, Yu Wu, et al.2023 · 335 citations
  3. A Study of Non-autoregressive Model for Sequence Generation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYi Ren et al.2020 · 77 citations
  4. Autoregressive Speech Synthesis without Vector QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Lingwei Meng, Long Zhou, Shujie Liu, et al.2025 · 25 citations

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 278 times (of the 149,439 papers whose bibliographies we read); 58 citing papers with a page here →.

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