| A hmm approach to residual estimation for high resolution voice conversion W Percybrooks12, E Moore | 3 | 2012 |
| A new HMM-based voice conversion methodology evaluated on monolingual and cross-lingual conversion tasks WS Percybrooks, E Moore IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015 | 2 | 2015 |
| A performance assessment of objective measures for evaluating the quality of glottal waveform estimates E Moore, J Torres Speech Communication 50 (1), 56-66, 2008 | 27 | 2008 |
| A study of glottal waveform features for deceptive speech classification JF Torres, E Moore, E Bryant 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 19 | 2008 |
| Affective Computing and Intelligent Interaction, vol. 6975 of Lecture Notes in Computer Science, chapter Investigating Glottal Parameters and Teager Energy Operators in Emotion … R Sun, E Moore Springer, 2011 | 2 | 2011 |
| Algorithm for automatic glottal waveform estimation without the reliance on precise glottal closure information E Moore, M Clements 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004 | 50 | 2004 |
| Analysis of prosodic variation in speech for clinical depression E Moore, M Clements, J Peifer, L Weisser Proceedings of the 25th Annual International Conference of the IEEE …, 2003 | 62 | 2003 |
| App-based data collection, mental imagery, and naming performance in adults with aphasia J Laures-Gore, M Stache, E Moore, C Tullis Complementary Therapies in Clinical Practice 44, 101422, 2021 | 7 | 2021 |
| Application of a GA/Bayesian filter-wrapper feature selection method to classification of clinical depression from speech data J Torres, A Saad, E Moore Soft Computing in Industrial Applications: Recent Trends, 115-121, 2007 | 14 | 2007 |
| Assessing the phacoemulsification learning curve using duration of each step A Rali, T Grosel, J Fontus, M Aaron, J Jones, E Moore, YM Khalifa Journal of Cataract & Refractive Surgery 48 (1), 44-50, 2022 | 9 | 2022 |
| Assessing the Phacoemulsification Learning Curve Utilizing Duration of Each Step A Rali, T Grosel, J Fontus, M Aaron, J Jones, E Moore, YM Khalifa Journal of Cataract & Refractive Surgery, 2021 | | 2021 |
| Association analysis of the general environmental conditions and prokaryotes’ gene distributions in various functional groups H Wu, E Moore Genomics 96 (1), 27-38, 2010 | 18 | 2010 |
| Characterization of movie genre based on music score A Austin, E Moore, U Gupta, P Chordia 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 29 | 2010 |
| Comparing objective feature statistics of speech for classifying clinical depression EII Moore, M Clements, J Peifer, L Weisser The 26th annual international conference of the IEEE engineering in medicine …, 2004 | 74 | 2004 |
| Critical analysis of the impact of glottal features in the classification of clinical depression in speech E Moore II, MA Clements, JW Peifer, L Weisser IEEE transactions on biomedical engineering 55 (1), 96-107, 2007 | 248 | 2007 |
| Cross-Database Models for the Classification of Dysarthria Presence. S Gillespie, YY Logan, E Moore, J Laures-Gore, S Russell, R Patel Interspeech, 3127-3131, 2017 | 42 | 2017 |
| Detecting food intake acoustic events in noisy recordings using template matching T Olubanjo, E Moore, M Ghovanloo 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 18 | 2016 |
| Detecting stress and depression in adults with aphasia through speech analysis S Gillespie, E Moore, J Laures-Gore, M Farina, S Russell, YY Logan 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 11 | 2017 |
| Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease I Hajjar, M Okafor, JD Choi, E Moore, A Abrol, VD Calhoun, FC Goldstein Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 15 (1 …, 2023 | 24 | 2023 |
| Development of voice digital biomarkers in AD, their associations with CSF amyloid beta (Aß1‐42) and their underlying neural representations I Hajjar, J Choi, E Moore, VD Calhoun, A Abrol, FC Goldstein Alzheimer's & Dementia 17, e056549, 2021 | | 2021 |
