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Mark Hasegawa-Johnson — most-cited papers & profile · Speech Audio
← authors
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overview
Mark Hasegawa-Johnson
32
papers ·
384
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
2019 · 195 citations
Unsupervised Speech Decomposition via Triple Information Bottleneck
2020 · 43 citations
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers
2022 · 24 citations
Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility
2024 · 13 citations
Global Rhythm Style Transfer Without Text Transcriptions
2021 · 12 citations
The Interspeech 2025 Speech Accessibility Project Challenge
2025 · 7 citations
Analysis of Self-Supervised Speech Models on Children's Speech and Infant Vocalizations
2024 · 6 citations
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition
2018 · 5 citations
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech Recognition
2022 · 3 citations
Deep Learning Based Speech Beamforming
2018 · 2 citations
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
2018 · 2 citations
TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models
2025 · 1 citations
Autosegmental Neural Nets: Should Phones and Tones be Synchronous or Asynchronous?
2020 · 1 citations
Multi-Decoder DPRNN: High Accuracy Source Counting and Separation
2020 · 1 citations
SiamCTC: Learning Speech Representations through Monotonic Temporal Alignment
2026
Top co-authors
Kaizhi Qian
· 8
Shiyu Chang
· 6
Junrui Ni
· 4
Xuesong Yang
· 4
Yang Zhang
· 4
Chang D. Yoo
· 3
David Cox
· 3
Heting Gao
· 3
Bornali Phukon
· 2
Eunseop Yoon
· 2
Hee Suk Yoon
· 2
Junzhe Zhu
· 2
Topics
Speech Recognition
Audio Understanding
Speech Translation
Speech Enhancement
Text-to-Speech
Voice Cloning
Speaker Analysis
Audio Generation
Multimodal Audio
Music Generation