Faculty

Institution

Unit

Venue

Eric W. Healy

Professor

Ohio State University

Affiliations

College of Arts and Sciences

Speech and Hearing Science

Eric W. Healy is currently serving as a College Of Arts And Sciences Professor at Ohio State University.

Honors

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Experiences

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Education

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Eric W. Healy

Ohio State University

Professor

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audiology acoustical engineering hearing research linguistics auditory science cognitive science speech perception hearing loss neuroscience acoustic signal processing noise phonetics speech processing bioacoustics hearing-impaired listeners speech recognition acoustic ecology phonology noise reduction psychoacoustics communication deep learning speech science speech enhancement underwater acoustics speech intelligibility speech separation cochlear implants speech acoustics vowel sequences speech communication acoustic modeling audio analysis audio electroacoustics sentence recognition sensory science speech technology brain imaging acoustical oceanography impaired hearing psychophysics auditory physiology magnetic resonance imaging speech production human hearing temporal speech information normal-hearing listeners consonant recognition time-frequency importance functions noise promoting background noise mri scanner noise sentence intelligibility temporal speech patterns novel noises preventive medicine experimental medicine wireless communications child language human-computer interaction language recognition working memory cognitive linguistics timefrequency analysis causality prevention science health prevention large-scale training aural augmentation language

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Ideal Compressed Mask for Increasing Speech Intelligibility Without Sacrificing Environmental Sound Recognition. The Journal of the Acoustical Society of America (2024)

Eric M. JohnsonEric W. Healy

speech enhancementacoustic signal processingspeech productionspeech processingspeech intelligibilityspeech recognitionenvironmental sound recognitionspeech communication

The Optimal Speech-To-Background Ratio for Balancing Speech Recognition With Environmental Sound Recognition. Ear and Hearing (2024)

Eric M. JohnsonEric W. Healy

speech recognitionoptimal speech-to-background ratioenvironmental sound recognitioncognitive science

Improving Intelligibility of Dysarthric Speech in Noise for Listeners With Hearing Loss. The Journal of the Acoustical Society of America (2023)

Sarah Yoho LeopoldStephanie BorrieTyson BarrettEric Healy

time-frequency maskingspeech enhancementspeech acousticsnoise reduction strategiesnoise reductionspeech processingspeech perceptionhearing researchspeech sciencehearing losslanguagespeech recognitionspeech sound disordersspeech communicationrehabilitationnoise

Maximizing Environmental Sound Recognition and Speech Intelligibility Using Time-Frequency Masking. The Journal of the Acoustical Society of America (2023)

Eric M. JohnsonEric W. Healy

time-frequency maskingaudio electroacousticsacoustic signal processingaudiologybioacousticscognitive scienceacoustical engineeringenvironmental sound recognitionspeech intelligibility

Progress Made in the Efficacy and Viability of Deep-Learning-Based Noise Reduction. The Journal of the Acoustical Society of America (2023)

Eric W. HealyEric M. JohnsonAshutosh PandeyDeLiang Wang

deep learningunderwater acousticsnoise reductionneurosciencehearing researchaudiologyengineering acousticacoustical engineeringacoustic ecology

The Application of Time–Frequency Masking to Improve Intelligibility of Dysarthric Speech in Background Noise. Journal of Speech Language and Hearing Research (2023)

Stephanie A. BorrieSarah E. YohoEric W. HealyTyson S. Barrett

speech enhancementspeech acousticstime–frequency maskingbackground noisespeech processingneurosciencepathological speechspeech perceptionhearing researchspeech sciencecognitive sciencespeech recognitionspeech sound disordersspeech communicationt-f maskingnoise

The Influence of Noise Type and Semantic Predictability on Word Recall in Older Listeners and Listeners With Hearing Impairment. Journal of Speech Language and Hearing Research (2022)

Brittney L. CarterFrédéric ApouxEric W. Healy

semantic predictabilityauditory sciencecognitive sciencelinguisticshearing impairmentword recallaudiologynoise typeolder listeners

A Causal and Talker-Independent Speaker Separation/Dereverberation Deep Learning Algorithm: Cost Associated With Conversion to Real-Time Capable Operation. The Journal of the Acoustical Society of America (2021)

Eric W. HealyHassan TaherianEric M. JohnsonDeLiang Wang

computer sciencereal-time capable operationdeep learningacoustic modelingaudiologyacoustical engineeringspeech separation

An Effectively Causal Deep Learning Algorithm to Increase Intelligibility in Untrained Noises for Hearing-Impaired Listeners. The Journal of the Acoustical Society of America (2021)

Eric W. HealyKe TanEric M. JohnsonDeLiang Wang

computer sciencecausal inferenceauditory sciencehearing-impaired listenersacoustic signal processingcausalitydeep learninguntrained noisesspeech perceptionaudiologyhearing researchhearing loss

Deep Learning Based Speaker Separation and Dereverberation Can Generalize Across Different Languages to Improve Intelligibility. The Journal of the Acoustical Society of America (2021)

Eric W. HealyEric M. JohnsonMasood DelfarahDivya S. KrishnagiriVictoria A. SevichHassan TaherianDeLiang Wang

different languageslinguisticsdeep learningspeaker separationaudiologycomputational linguisticsacoustical engineeringspeech separation

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Eric W. Healy

Professor

Ohio State University

Affiliations

College of Arts and Sciences

Speech and Hearing Science

Eric W. Healy is currently serving as a College Of Arts And Sciences Professor at Ohio State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Eric W. Healy

Ohio State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Ideal Compressed Mask for Increasing Speech Intelligibility Without Sacrificing Environmental Sound Recognition. The Journal of the Acoustical Society of America (2024)

Eric M. JohnsonEric W. Healy

speech enhancementacoustic signal processingspeech productionspeech processingspeech intelligibilityspeech recognitionenvironmental sound recognitionspeech communication

The Optimal Speech-To-Background Ratio for Balancing Speech Recognition With Environmental Sound Recognition. Ear and Hearing (2024)

Eric M. JohnsonEric W. Healy

speech recognitionoptimal speech-to-background ratioenvironmental sound recognitioncognitive science

Improving Intelligibility of Dysarthric Speech in Noise for Listeners With Hearing Loss. The Journal of the Acoustical Society of America (2023)

Sarah Yoho LeopoldStephanie BorrieTyson BarrettEric Healy

Maximizing Environmental Sound Recognition and Speech Intelligibility Using Time-Frequency Masking. The Journal of the Acoustical Society of America (2023)

Eric M. JohnsonEric W. Healy

time-frequency maskingaudio electroacousticsacoustic signal processingaudiologybioacousticscognitive scienceacoustical engineeringenvironmental sound recognitionspeech intelligibility

Progress Made in the Efficacy and Viability of Deep-Learning-Based Noise Reduction. The Journal of the Acoustical Society of America (2023)

Eric W. HealyEric M. JohnsonAshutosh PandeyDeLiang Wang

deep learningunderwater acousticsnoise reductionneurosciencehearing researchaudiologyengineering acousticacoustical engineeringacoustic ecology

The Application of Time–Frequency Masking to Improve Intelligibility of Dysarthric Speech in Background Noise. Journal of Speech Language and Hearing Research (2023)

Stephanie A. BorrieSarah E. YohoEric W. HealyTyson S. Barrett

The Influence of Noise Type and Semantic Predictability on Word Recall in Older Listeners and Listeners With Hearing Impairment. Journal of Speech Language and Hearing Research (2022)

Brittney L. CarterFrédéric ApouxEric W. Healy

semantic predictabilityauditory sciencecognitive sciencelinguisticshearing impairmentword recallaudiologynoise typeolder listeners

Eric W. HealyHassan TaherianEric M. JohnsonDeLiang Wang

computer sciencereal-time capable operationdeep learningacoustic modelingaudiologyacoustical engineeringspeech separation

An Effectively Causal Deep Learning Algorithm to Increase Intelligibility in Untrained Noises for Hearing-Impaired Listeners. The Journal of the Acoustical Society of America (2021)

Eric W. HealyKe TanEric M. JohnsonDeLiang Wang

computer sciencecausal inferenceauditory sciencehearing-impaired listenersacoustic signal processingcausalitydeep learninguntrained noisesspeech perceptionaudiologyhearing researchhearing loss

Deep Learning Based Speaker Separation and Dereverberation Can Generalize Across Different Languages to Improve Intelligibility. The Journal of the Acoustical Society of America (2021)

Eric W. HealyEric M. JohnsonMasood DelfarahDivya S. KrishnagiriVictoria A. SevichHassan TaherianDeLiang Wang

different languageslinguisticsdeep learningspeaker separationaudiologycomputational linguisticsacoustical engineeringspeech separation

1
2
3
4
5
11
10 / page

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Institution

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