Chao Weng
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Tencent, Huawei Technologies (UK)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0009-0009-8712-9176as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- OpenAlex ID
- A5106404246as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 30
A Multistage Training Framework for Acoustic-to-Word Model,
Component Fusion: Learning Replaceable Language Model Component for End-to-end Speech Recognition System,
Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI,
Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition,
Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition,
Dfsmn-San with Persistent Memory Model for Automatic Speech Recognition,
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization,
Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-Based Multi-Modal Context Modeling
+22 more
← Authored by 30
A Multistage Training Framework for Acoustic-to-Word Model,
Component Fusion: Learning Replaceable Language Model Component for End-to-end Speech Recognition System,
Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI,
Deep learning based multi-source localization with source splitting and its effectiveness in multi-talker speech recognition,
Deep Neural Networks for Single-Channel Multi-Talker Speech Recognition,
Dfsmn-San with Persistent Memory Model for Automatic Speech Recognition,
Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization,
Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-Based Multi-Modal Context Modeling
+22 more
Affiliated with 7
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Summary
Chao Weng is a human[1].