Faculty

Institution

Unit

Venue

Michael T. Johnson

Professor Associate Dean for Undergraduate Education and Student Success

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Michael T. Johnson is currently serving as an Electrical & Computer Engineering Professor Associate Dean for Undergraduate Education and Student Success at University of Kentucky.

Honors

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Experiences

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Education

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Michael T. Johnson

University of Kentucky

Professor Associate Dean for Undergraduate Education and Student Success

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linguistics audiology computer science natural language processing machine learning bioacoustics signal processing speech processing speech recognition acoustical engineering hearing research avian biology acoustic ecology audio analysis pattern recognition digital signal processing speech enhancement spoken language processing acoustic signal processing phonetics audio signal processing speech technology zoology psychoacoustics audio electroacoustics acoustical oceanography spoken language technology mammalogy music processing underwater acoustics systems engineering evolutionary biology speech science speaker identification animal ecology statistical signal processing acoustic modeling language recognition auditory science reconstructed phase spaces acoustic-to-articulatory inversion animal behavior speech communication animal science ornithology reconstructed phase space ortolan bunting african elephant animal cognition welding process eeg signal processing speech acoustics signal reconstruction voice technology phonetic information automatic song-type classification speaker verification phoneme classification phase space reconstruction loxodonta africana kinematic-independent acoustic-to-articulatory inversion post-processing speech ethology manufacturing technology advanced manufacturing technologies manufacturing science information theory animal behaviour knowledge data engineering knowledge engineering knowledge technology data engineering manufacturing engineering immersive technologies acoustic sequences gaussian mixture models

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accurate Synthesis of Dysarthric Speech for Asr Data Augmentation. arXiv (Cornell University) (2023)

Mohammad SoleymanpourMichael T. JohnsonRahim SoleymanpourJeffrey Berry

dysarthric speechasr data augmentationaccurate synthesisapplied mathematicsmachine learning

Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments. IEEE Access (2023)

Rahim SoleymanpourMohammad SoleymanpourAnthony J. BrammerMichael T. JohnsonInsoo Kim

speech enhancementmachine learningnoisy environmentstemporal envelopedeep learninginformation technologyspeech enhancement algorithmcomputer science

A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data. Applied Sciences (2022)

Julie N. OswaldAmy M. Van CiseAngela DassowTaffeta ElliottMichael T. JohnsonAndrea RavignaniJeffrey Podos

bioacousticsapplied statisticsenvironmental sciencebest practicesbioacoustic data

Synthesizing Dysarthric Speech Using Multi-Speaker Tts for Dysarthric Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Mohammad SoleymanpourMichael T. JohnsonRahim SoleymanpourJeffrey Berry

technologydysarthric speechspoken language technologyacoustic signal processingspoken language processingspeech processingdigital signal processingspeech recognitionmulti-speaker ttsspeech technologydysarthric speech recognitionlinguistics

Articulatory Comparison of L1 and L2 Speech for Mispronunciation Diagnosis. 2022 IEEE Spoken Language Technology Workshop (SLT) (2021)

Subash KhanalMichael T. JohnsonNarjes Bozorg

articulatory comparisonmispronunciation diagnosislinguistics

Autoregressive Articulatory Wavenet Flow for Speaker-Independent Acoustic-To-Articulatory Inversion. (2021)

Narjes BozorgMichael T. JohnsonMohammad Soleymanpour

audiologyspeaker-independent acoustic-to-articulatory inversionacoustical engineeringaudio signal processingsignal processingneuroscience

Comparison in Suprasegmental Characteristics Between Typical and Dysarthric Talkers at Varying Severity Levels. (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

suprasegmental characteristicsrehabilitationaudiologydysarthric talkersseverity levels

Dysarthric Speech Augmentation Using Prosodic Transformation and Masking for Subword End-To-End Asr. (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

spoken language processingnatural language processingdysarthric speech augmentationprosodic transformationlinguisticssubword end-to-end asr

Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement. arXiv (Cornell University) (2021)

Yuzi YanWei-Qiang ZhangMichael T. Johnson

deep learningcomputer sciencespeech enhancement

Increasing the Precision of Dysarthric Speech Intelligibility and Severity Level Estimate. Lecture notes in computer science (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

machine learningdysarthric speech intelligibilitycomputational linguisticsspeech processingseverity level estimatebiostatisticsdata sciencelanguage assessmentcomputer science

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Michael T. Johnson

Professor Associate Dean for Undergraduate Education and Student Success

University of Kentucky

Affiliations

Stanley and Karen Pigman College of Engineering

Electrical & Computer Engineering

Michael T. Johnson is currently serving as an Electrical & Computer Engineering Professor Associate Dean for Undergraduate Education and Student Success at University of Kentucky.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Michael T. Johnson

University of Kentucky

Professor Associate Dean for Undergraduate Education and Student Success

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accurate Synthesis of Dysarthric Speech for Asr Data Augmentation. arXiv (Cornell University) (2023)

Mohammad SoleymanpourMichael T. JohnsonRahim SoleymanpourJeffrey Berry

dysarthric speechasr data augmentationaccurate synthesisapplied mathematicsmachine learning

Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments. IEEE Access (2023)

Rahim SoleymanpourMohammad SoleymanpourAnthony J. BrammerMichael T. JohnsonInsoo Kim

speech enhancementmachine learningnoisy environmentstemporal envelopedeep learninginformation technologyspeech enhancement algorithmcomputer science

A Collection of Best Practices for the Collection and Analysis of Bioacoustic Data. Applied Sciences (2022)

Julie N. OswaldAmy M. Van CiseAngela DassowTaffeta ElliottMichael T. JohnsonAndrea RavignaniJeffrey Podos

bioacousticsapplied statisticsenvironmental sciencebest practicesbioacoustic data

Synthesizing Dysarthric Speech Using Multi-Speaker Tts for Dysarthric Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Mohammad SoleymanpourMichael T. JohnsonRahim SoleymanpourJeffrey Berry

Articulatory Comparison of L1 and L2 Speech for Mispronunciation Diagnosis. 2022 IEEE Spoken Language Technology Workshop (SLT) (2021)

Subash KhanalMichael T. JohnsonNarjes Bozorg

articulatory comparisonmispronunciation diagnosislinguistics

Autoregressive Articulatory Wavenet Flow for Speaker-Independent Acoustic-To-Articulatory Inversion. (2021)

Narjes BozorgMichael T. JohnsonMohammad Soleymanpour

audiologyspeaker-independent acoustic-to-articulatory inversionacoustical engineeringaudio signal processingsignal processingneuroscience

Comparison in Suprasegmental Characteristics Between Typical and Dysarthric Talkers at Varying Severity Levels. (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

suprasegmental characteristicsrehabilitationaudiologydysarthric talkersseverity levels

Dysarthric Speech Augmentation Using Prosodic Transformation and Masking for Subword End-To-End Asr. (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

spoken language processingnatural language processingdysarthric speech augmentationprosodic transformationlinguisticssubword end-to-end asr

Full Attention Bidirectional Deep Learning Structure for Single Channel Speech Enhancement. arXiv (Cornell University) (2021)

Yuzi YanWei-Qiang ZhangMichael T. Johnson

deep learningcomputer sciencespeech enhancement

Increasing the Precision of Dysarthric Speech Intelligibility and Severity Level Estimate. Lecture notes in computer science (2021)

Mohammad SoleymanpourMichael T. JohnsonJeffrey Berry

machine learningdysarthric speech intelligibilitycomputational linguisticsspeech processingseverity level estimatebiostatisticsdata sciencelanguage assessmentcomputer science

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5
14
10 / page

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