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Michael Zeng — most-cited papers & profile · Speech Audio
← authors
·
overview
Michael Zeng
24
papers ·
151
citations ·
29
h-index
Microsoft (United States) · Microsoft (Germany) · Microsoft Research (United Kingdom)
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Semantic Scholar ↗
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Most-cited papers
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
2021 · 20 citations
Improving Readability for Automatic Speech Recognition Transcription
2020 · 19 citations
Meeting Transcription Using Virtual Microphone Arrays
2019 · 15 citations
Speech-language Pre-training for End-to-end Spoken Language Understanding
2021 · 9 citations
Large-scale Self-Supervised Speech Representation Learning for Automatic Speaker Verification
2021 · 9 citations
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
2024 · 5 citations
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
2020 · 4 citations
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
2023 · 2 citations
SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding
2020 · 1 citations
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data
2023 · 1 citations
Adapting Large Language Model with Speech for Fully Formatted End-to-End Speech Recognition
2023 · 1 citations
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations
2024 · 1 citations
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model
2021
Optimizing Alignment of Speech and Language Latent Spaces for End-to-End Speech Recognition and Understanding
2021
Sequence-level self-learning with multiple hypotheses
2021
Top co-authors
Yao Qian
· 11
Shujie Liu
· 8
Yanmin Qian
· 5
Jinyu Li
· 4
Xuedong Huang
· 4
Dongmei Wang
· 3
Long Zhou
· 3
Midia Yousefi
· 3
Sheng Zhao
· 3
Xiaofei Wang
· 3
Yu Shi
· 3
Yu Shi
· 3
Topics
Speech Recognition
Text-to-Speech
Speech Translation
Audio Understanding
Audio Generation
Multimodal Audio
Music Generation
Speaker Analysis
Speech Enhancement