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A Competing Voices Test for Hearing-Impaired Listeners Applied to Spatial Separation and Ideal Time-Frequency Masks

Trends in hearing, 2019-05, Vol.23, p.2331216519848288-2331216519848288

2019

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The adaptation of noise-induced temporary hearing threshold shift predictive models for modelling the public health policy

International journal of occupational medicine and environmental health, 2023-01, Vol.36 (1), p.125-138

2023

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Investigating the Provision and Context of Use of Hearing Aid Listening Programs From Real-world Data: Observational Study

Journal of medical Internet research, 2022-10, Vol.24 (10), p.e36671-e36671

2022

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Public health policy-making for hearing loss: stakeholders’ evaluation of a novel eHealth tool

Health research policy and systems, 2020-10, Vol.18 (1), p.1-125, Article 125

2020

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Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data

Frontiers in digital health, 2021-09, Vol.3, p.725130-725130

2021

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Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data

Computers (Basel), 2018-03, Vol.7 (1), p.1

2018

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Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm

The Journal of the Acoustical Society of America, 2018-07, Vol.144 (1), p.172-185

2018

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HEARING AID ALGORITHMS

The Journal of the Acoustical Society of America, 2013, Vol.133 (5), p.3217

Henrik Pontoppidan, Niels

2013

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Measuring and modeling context-dependent preferences for hearing aid settings

User modeling and user-adapted interaction, 2022-11, Vol.32 (5), p.977-998

2022

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Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithma

The Journal of the Acoustical Society of America, 2018-07, Vol.144 (1), p.172-185

2018

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The effect of tone-vocoding on spatial release from masking for old, hearing-impaired listenersa

The Journal of the Acoustical Society of America, 2017-04, Vol.141 (4), p.2591-2603

2017

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The effect of tone-vocoding on spatial release from masking for old, hearing-impaired listeners

The Journal of the Acoustical Society of America, 2017-04, Vol.141 (4), p.2591-2603

2017

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Low latency sound source separation using convolutional recurrent neural networks

2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2017, p.71-75

2017

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Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.241-245

2015

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Big Data for Sound Policies: Toward Evidence-Informed Hearing Health Policies

American journal of audiology, 2018-11, Vol.27 (3S), p.493-502

2018

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EVOTION - Big Data Supporting Public Hearing Health Policies

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), 2019, p.7-8

2019

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Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study

BMJ open, 2018-02, Vol.8 (2), p.e020978-e020978

2018

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Perception of a Sung Vowel as a Function of Frequency-Modulation Rate and Excursion in Listeners with Normal Hearing and Hearing Impairment

Journal of speech, language, and hearing research, 2014-10, Vol.57 (5), p.1961-1971

2014

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Hearables in Hearing Care: Discovering Usage Patterns Through IoT Devices

Universal Access in Human–Computer Interaction. Human and Technological Environments, p.39-49

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Associations Between Hearing Performance and Physiological Measures - An Overview and Outlook

Studies in health technology and informatics, 2017, Vol.238, p.100

2017

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Condition monitoring with mean field independent components analysis

Mechanical systems and signal processing, 2005-11, Vol.19 (6), p.1337-1347

2005

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Big Data Analytics in Healthcare: Design and Implementation for a Hearing Aid Case Study

2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2018, p.296-303

2018

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Low-latency sound source separation using deep neural networks

2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016, p.272-276

2016

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Inferring User Intents from Motion in Hearing Healthcare

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018, p.670-675

2018

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Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2017, p.1733-1739

2017

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A Competing Voices Test for Hearing-Impaired Listeners Applied to Spatial Separation and Ideal Time-Frequency Masks

The adaptation of noise-induced temporary hearing threshold shift predictive models for modelling the public health policy

Investigating the Provision and Context of Use of Hearing Aid Listening Programs From Real-world Data: Observational Study

Public health policy-making for hearing loss: stakeholders’ evaluation of a novel eHealth tool

Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data

Personalizing the Fitting of Hearing Aids by Learning Contextual Preferences From Internet of Things Data

Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithm

HEARING AID ALGORITHMS

Measuring and modeling context-dependent preferences for hearing aid settings

Improving competing voices segregation for hearing impaired listeners using a low-latency deep neural network algorithma

The effect of tone-vocoding on spatial release from masking for old, hearing-impaired listenersa

The effect of tone-vocoding on spatial release from masking for old, hearing-impaired listeners

Low latency sound source separation using convolutional recurrent neural networks

Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries

Big Data for Sound Policies: Toward Evidence-Informed Hearing Health Policies

EVOTION - Big Data Supporting Public Hearing Health Policies

Clinical validation of a public health policy-making platform for hearing loss (EVOTION): protocol for a big data study

Perception of a Sung Vowel as a Function of Frequency-Modulation Rate and Excursion in Listeners with Normal Hearing and Hearing Impairment

Hearables in Hearing Care: Discovering Usage Patterns Through IoT Devices

Associations Between Hearing Performance and Physiological Measures - An Overview and Outlook

Condition monitoring with mean field independent components analysis

Big Data Analytics in Healthcare: Design and Implementation for a Hearing Aid Case Study

Low-latency sound source separation using deep neural networks

Inferring User Intents from Motion in Hearing Healthcare

Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

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