Michael T. Johnson

Michael T. Johnson

University of Kentucky

H-index: 31

North America-United States

About Michael T. Johnson

Michael T. Johnson, With an exceptional h-index of 31 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Kentucky, specializes in the field of Speech Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accurate synthesis of Dysarthric Speech for ASR data augmentation

Speech enhancement algorithm based on a convolutional neural network reconstruction of the temporal envelope of speech in noisy environments

A collection of best practices for the collection and analysis of bioacoustic data

Synthesizing dysarthric speech using multi-speaker tts for dysarthric speech recognition

Synthesizing dysarthric speech using multi-talker TTS for dysarthric speech recognition

Dysarthric speech augmentation using prosodic transformation and masking for subword end-to-end ASR

Comparison in Suprasegmental Characteristics between Typical and Dysarthric Talkers at Varying Severity Levels

Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement

Michael T. Johnson Information

University

Position

Electrical and Computer Engineering

Citations(all)

3615

Citations(since 2020)

1461

Cited By

2712

hIndex(all)

31

hIndex(since 2020)

20

i10Index(all)

70

i10Index(since 2020)

36

Email

University Profile Page

University of Kentucky

Google Scholar

View Google Scholar Profile

Michael T. Johnson Skills & Research Interests

Speech Processing

Top articles of Michael T. Johnson

Title

Journal

Author(s)

Publication Date

Accurate synthesis of Dysarthric Speech for ASR data augmentation

arXiv preprint arXiv:2308.08438

Mohammad Soleymanpour

Michael T Johnson

Rahim Soleymanpour

Jeffrey Berry

2023/8/16

Speech enhancement algorithm based on a convolutional neural network reconstruction of the temporal envelope of speech in noisy environments

IEEE Access

Rahim Soleymanpour

Mohammad Soleymanpour

Anthony J Brammer

Michael T Johnson

Insoo Kim

2023/1/11

A collection of best practices for the collection and analysis of bioacoustic data

Julie N Oswald

Amy M Van Cise

Angela Dassow

Taffeta Elliott

Michael T Johnson

...

2022/11/25

Synthesizing dysarthric speech using multi-speaker tts for dysarthric speech recognition

Mohammad Soleymanpour

Michael T Johnson

Rahim Soleymanpour

Jeffrey Berry

2022/5/23

Synthesizing dysarthric speech using multi-talker TTS for dysarthric speech recognition

arXiv preprint arXiv:2201.11571

Mohammad Soleymanpour

Michael T Johnson

Rahim Soleymanpour

Jeffrey Berry

2022/1/27

Dysarthric speech augmentation using prosodic transformation and masking for subword end-to-end ASR

Mohammad Soleymanpour

Michael T Johnson

Jeffrey Berry

2021/10/13

Comparison in Suprasegmental Characteristics between Typical and Dysarthric Talkers at Varying Severity Levels

Mohammad Soleymanpour

Michael T Johnson

Jeffrey Berry

2021/10/13

Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement

arXiv preprint arXiv:2108.12105

Yuzi Yan

Wei-Qiang Zhang

Michael T Johnson

2021/8/27

Articulatory comparison of l1 and l2 speech for mispronunciation diagnosis

Subash Khanal

Michael T Johnson

Narjes Bozorg

2021/1/19

Autoregressive articulatory wavenet flow for speaker-independent acoustic-to-articulatory inversion

Narjes Bozorg

Michael T Johnson

Mohammad Soleymanpour

2021/10/13

Increasing the precision of dysarthric speech intelligibility and severity level estimate

Mohammad Soleymanpour

Michael T Johnson

Jeffrey Berry

2021

Mispronunciation detection and diagnosis for mandarin accented english speech

Subash Khanal

Michael T Johnson

Mohammad Soleymanpour

Narjes Bozorg

2021/10/13

Deep learning-based detection of penetration from weld pool reflection images

Weld J

C Li

Q Wang

W Jiao

M Johnson

YM Zhang

2020/9/1

Articulatory-wavenet: Autoregressive model for acoustic-to-articulatory inversion

arXiv preprint arXiv:2006.12594

Narjes Bozorg

Michael T Johnson

2020/6/22

Dynamic temporal residual learning for speech recognition

Jiaqi Xie

Ruijie Yan

Shanyu Xiao

Liangrui Peng

Michael T Johnson

...

2020/5/4

Acoustic-to-articulatory inversion with deep autoregressive articulatory-wavenet

Networks (CNNs)

Narjes Bozorg

Michael T Johnson

2020

See List of Professors in Michael T. Johnson University(University of Kentucky)

Co-Authors

H-index: 35
Richard J Povinelli

Richard J Povinelli

Marquette University

H-index: 34
Edwin E Yaz

Edwin E Yaz

Marquette University

H-index: 33
Daniel Zitomer

Daniel Zitomer

Marquette University

H-index: 26
Tomasz S. Osiejuk

Tomasz S. Osiejuk

Uniwersytet im. Adama Mickiewicza w Poznaniu

H-index: 23
Liang HE

Liang HE

Tsinghua University

H-index: 19
Wei-Qiang Zhang (张卫强)

Wei-Qiang Zhang (张卫强)

Tsinghua University

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