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Development of social vocalizations in mice

PloS one, 2011-03, Vol.6 (3), p.e17460-e17460

2011

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Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.2352-2361

2022

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A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data

The Journal of the Acoustical Society of America, 2009-04, Vol.125 (4), p.2374-2386

2009

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Modulation Depth Discrimination by Cochlear Implant Users

Journal of the Association for Research in Otolaryngology, 2022-04, Vol.23 (2), p.285-299

2022

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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users

Hearing research, 2017-02, Vol.344, p.183-194

2017

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Sensitivity to Envelope Interaural Time Differences at High Modulation Rates

Trends in hearing, 2015-12, Vol.19

2015

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Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise

Current biology, 2020-12, Vol.30 (23), p.4710-4721.e4

2020

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Deep reinforcement learning guided graph neural networks for brain network analysis

Neural networks, 2022-10, Vol.154, p.56-67

2022

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Semi-Supervised EEG Clustering With Multiple Constraints

IEEE transactions on knowledge and data engineering, 2023-08, Vol.35 (8), p.8529-8544

2023

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The neural representation of an auditory spatial cue in the primate cortex

Current biology, 2024-05, Vol.34 (10), p.2162-2174.e5

2024

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Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data

Neural networks, 2023-06, Vol.163, p.272-285

2023

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Cross-modal functional connectivity supports speech understanding in cochlear implant users

Cerebral cortex (New York, N.Y. 1991), 2023-03, Vol.33 (7), p.3350-3371

2023

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Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis

IEEE journal of biomedical and health informatics, 2023-01, Vol.27 (1), p.1-12

2023

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Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners With Subjective Tinnitus

IEEE transactions on neural systems and rehabilitation engineering, 2021, Vol.29, p.1452-1461

2021

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Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain

Journal of neurophysiology, 2017-10, Vol.118 (4), p.2358-2370

2017

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A method to enhance the use of interaural time differences for cochlear implants in reverberant environments

The Journal of the Acoustical Society of America, 2016-08, Vol.140 (2), p.1116-1129

2016

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Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

The Journal of the Acoustical Society of America, 2017-03, Vol.141 (3), p.1985-1998

2017

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Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids

International journal of audiology, 2018-01, Vol.57 (1), p.61-68

2018

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Factors affecting the use of envelope interaural time differences in reverberation

The Journal of the Acoustical Society of America, 2013-04, Vol.133 (4), p.2288-2300

2013

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Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]

Neural networks, 2023-07, Vol.164, p.575-575

2023

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Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listenersa

The Journal of the Acoustical Society of America, 2017-03, Vol.141 (3), p.1985-1998

2017

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Neural network based speech enhancement applied to cochlear implant coding strategies

The Journal of the Acoustical Society of America, 2015-09, Vol.138 (3_Supplement), p.1833-1833

2015

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The effect of binaural coherence on envelope interaural time difference thresholds

The Journal of the Acoustical Society of America, 2010-03, Vol.127 (3_Supplement), p.1990-1990

2010

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Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features

2016 24th European Signal Processing Conference (EUSIPCO), 2016, p.2300-2304

2016

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The Alliance for Freshwater Life: A global call to unite efforts for freshwater biodiversity science and conservation

Aquatic conservation, 2018-08, Vol.28 (4), p.1015-1022

2018

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Development of social vocalizations in mice

Side-Aware Meta-Learning for Cross-Dataset Listener Diagnosis With Subjective Tinnitus

A statistical, formant-pattern model for segregating vowel type and vocal-tract length in developmental formant data

Modulation Depth Discrimination by Cochlear Implant Users

Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users

Sensitivity to Envelope Interaural Time Differences at High Modulation Rates

Hidden Hearing Loss Impacts the Neural Representation of Speech in Background Noise

Deep reinforcement learning guided graph neural networks for brain network analysis

Semi-Supervised EEG Clustering With Multiple Constraints

The neural representation of an auditory spatial cue in the primate cortex

Functional connectivity learning via Siamese-based SPD matrix representation of brain imaging data

Cross-modal functional connectivity supports speech understanding in cochlear implant users

Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis

Generalizable Sample-Efficient Siamese Autoencoder for Tinnitus Diagnosis in Listeners With Subjective Tinnitus

Influence of envelope waveform on ITD sensitivity of neurons in the auditory midbrain

A method to enhance the use of interaural time differences for cochlear implants in reverberant environments

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners

Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids

Factors affecting the use of envelope interaural time differences in reverberation

Corrigendum to “Functional Connectivity Learning via Siamese-based SPD Matrix Representation of Brain Imaging Data” [Neural Networks 163 (2023) 272–285]

Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listenersa

Neural network based speech enhancement applied to cochlear implant coding strategies

The effect of binaural coherence on envelope interaural time difference thresholds

Speech enhancement for hearing-impaired listeners using deep neural networks with auditory-model based features

The Alliance for Freshwater Life: A global call to unite efforts for freshwater biodiversity science and conservation

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