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Mark Hasegawa-Johnson

Professor

Department of Electrical and Computer Engineering, University of Illinois, Urbana

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Honors and Certifications：
2020: Fellow of the IEEE
2011: Fellow of the Acoustical Society of America
2009: Senior Member of the Association for Computing Machinery
1996, 1989, 1989: Ph.D., S.M., and S.B. in Electrical Engineering and Computer Science from MIT
Academic family tree: me - Stevens - Beranek - Hunt - Chaffee - Pierce - Macfarlane - Tait - Hopkins - Sedgwick - Jones - Postlethwaite - Whisson - Taylor - Smith - Cotes - Newton.

Papers302 papers

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Unsupervised Speech Decomposition via Triple Information Bottleneck

Qian Kaizhi,Zhang Yang,Chang Shiyu, Cox David,Hasegawa-Johnson Mark

Cited by4Bibtex

Grapheme-to-Phoneme Transduction for Cross-Language ASR

Mark Hasegawa-Johnson, Leanne Rolston,Camille Goudeseune, Gina-Anne Levow, Katrin Kirchhoff

SLSP, pp.3-19, (2020)

EIBibtex

Speech technology for unwritten languages

Odette Scharenborg,Lucas Ondel, Shruti Palaskar, Philip Arthur, Francesco Ciannella, Mingxing Du, Elin Larsen, Danny Merkx, Rachid Riad, Liming Wang,Emmanuel Dupoux,Laurent Besacier

IEEE Transactions on Audio, Speech, and Language Processing, pp.1-1, (2020)

Cited by1Bibtex

Context-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains

Tarek Sakakini, Jong Yoon Lee, Aditya Duri,Renato Ferreira Leitão Azevedo, Victor Sadauskas, Kuangxiao Gu,Suma Bhat,Daniel Morrow,James Graumlich, Saqib Walayat,Mark Hasegawa-Johnson, Thomas S. Huang

LOUHI@EMNLP, pp.115-126, (2020)

EIBibtex

A DNN-HMM-DNN Hybrid Model for Discovering Word-Like Units from Spoken Captions and Image Regions

Liming Wang,Mark Hasegawa-Johnson

INTERSPEECH, pp.1456-1460, (2020)

EIBibtex

Multi-Decoder DPRNN: High Accuracy Source Counting and Separation

Junzhe Zhu,Raymond Yeh,Mark Hasegawa-Johnson

Bibtex

Multimodal Word Discovery and Retrieval With Spoken Descriptions and Visual Concepts

Liming Wang,Mark Hasegawa-Johnson

IEEE Transactions on Audio, Speech, and Language Processing, (2020): 1560-1573

Bibtex

A Comparison Study on Infant-Parent Voice Diarization

Junzhe Zhu,Mark Hasegawa-Johnson, Nancy McElwain

Bibtex

How Phonotactics Affect Multilingual and Zero-shot ASR Performance

Siyuan Feng,Piotr Żelasko, Laureano Moro-Velázquez, Ali Abavisani,Mark Hasegawa-Johnson,Odette Scharenborg,Najim Dehak

international conference on acoustics, speech, and signal processing, (2020)

Bibtex

Speech Technology for Unwritten Languages

Odette Scharenborg,Laurent Besacier, Alan Black,Mark Hasegawa-Johnson,Florian Metze,Graham Neubig,Sebastian Stüker,Pierre Godard, Markus Müller,Lucas Ondel, Shruti Palaskar,Philip Arthur

IEEE/ACM Transactions on Audio, Speech, and Language Processing, (2020): 964-975

EIWOSBibtex

Unsupervised Speech Decomposition via Triple Information Bottleneck

Kaizhi Qian,Yang Zhang,Shiyu Chang,Mark Hasegawa-Johnson, David Cox

ICML, pp.7836-7846, (2020)

EIBibtex

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

Qian Kaizhi,Jin Zeyu,Hasegawa-Johnson Mark,Mysore Gautham J.

ICASSP, pp.6284-6288, (2020)

Cited by3EIBibtex

Training Spoken Language Understanding Systems with Non-Parallel Speech and Text

Leda Sari,Samuel Thomas,Mark Hasegawa-Johnson

ICASSP, pp.8109-8113, (2020)

Cited by1EIBibtex

That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages

Żelasko Piotr, Moro-Velázquez Laureano,Hasegawa-Johnson Mark,Scharenborg Odette,Dehak Najim

INTERSPEECH, pp.3705-3709, (2020)

EIBibtex

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Kaizhi Qian,Yang Zhang,Shiyu Chang,Xuesong Yang,Mark Hasegawa-Johnson

international conference on machine learning, pp.5210-5219, (2019)

Cited by25EIBibtex

Contextualizing numeric clinical test results for gist comprehension: Implications for EHR patient portals

Daniel Morrow,Renato Ferreira Leitão Azevedo,Rocio Garcia-Retamero,Mark Hasegawa-Johnson,Thomas Huang, William Schuh, Kuangxiao Gu,Yang Zhang

Journal of experimental psychology. Applied, no. 1 (2019): 41-61

WOSBibtex

Pre-training of Speaker Embeddings for Low-latency Speaker Change Detection in Broadcast News

Leda Sari,Samuel Thomas,Mark Hasegawa-Johnson,Michael Picheny

international conference on acoustics speech and signal processing, (2019)

Cited by3EIBibtex

Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Kaizhi Qian,Yang Zhang,Shiyu Chang,Xuesong Yang,Mark Hasegawa-Johnson

arXiv: Audio and Speech Processing, (2019)

EIBibtex

Fast transcription of speech in low-resource languages

Hasegawa-Johnson Mark,Goudeseune Camille, Levow Gina-Anne

Bibtex

When CTC Training Meets Acoustic Landmarks

Di He,Xuesong Yang,Boon Pang Lim,Yi Liang,Mark Hasegawa-Johnson,Deming Chen

international conference on acoustics, speech, and signal processing, (2019)

Cited by2EIBibtex

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