S. Gillespie, E. Moore, J. Laures-Gore, M. Farina, S. Russell, and Y. Logan, “Detecting Stress and Depression in Adults with Aphasia through Speech Analysis,” in ICASSP, New Orleans, LA, 2017.
T. Prioleau, E. Moore, and M. Ghovanloo, “Unobtrusive and Wearable Systems for Automatic Dietary Monitoring,” IEEE Transactions on Biomedical Engineering, vol. 64, 2016.
T. Olubanjo, E. Moore, and M. Ghovanloo, “Detecting food intake acoustic events in noisy recordings using template matching,” in 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2016, pp. 388-391.
S. Gillespie, E. Moore, J. Laures-Gore, and M. Farina, “Exploratory analysis of speech features related to depression in adults with Aphasia,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, pp. 5815-5819.
W. S. Percybrooks and E. Moore, “A New HMM-Based Voice Conversion Methodology Evaluated on Monolingual and Cross-Lingual Conversion Tasks,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, pp. 2298-2310, 2015.
A. Liutkus, T. Olubanjo, E. Moore, and M. Ghovanloo, “Source separation for target enhancement of food intake acoustics from noisy recordings,” in Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 IEEE Workshop on, 2015, pp. 1-5.
U. Gupta, E. Moore, and A. Lerch, “On the perceptual relevance of objective source separation measures for singing voice separation,” in Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 IEEE Workshop on, 2015, pp. 1-5.
W. Percybrooks, E. Moore, and C. McMillan, “Phoneme independent HMM voice conversion,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013, pp. 6925-6929.
H. Wu and E. Moore, “Association analysis of the general environmental conditions and prokaryotes’ gene distributions in various functional groups,” Genomics, vol. 96, pp. 27-38, 2010.
A. Austin, E. Moore, U. Gupta, and P. Chordia, “Characterization of movie genre based on music score,” in 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010, pp. 421-424.
R. Sun, E. Moore, and J. F. Torres, “Investigating glottal parameters for differentiating emotional categories with similar prosodics,” in 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, pp. 4509-4512.
E. Moore, M. Hayes, and T. Utschig, “Introducing Tablet PCs into Synchronous Distributed Learning Environments,” in Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th, 2009, pp. 731-736.
J. F. Torres, E. Moore, and E. Bryant, “A study of Glottal waveform features for deceptive speech classification,” in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, pp. 4489-4492.
W. S. Percybrooks and E. Moore, “Voice conversion with linear prediction residual estimation,” in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, pp. 4673-4676.
E. Moore, T. T. Utschig, K. A. Haas, B. Klein, P. D. Yoder, Y. Zhang, et al., “Tablet PC Technology for the Enhancement of Synchronous Distributed Education,” IEEE Transactions on Learning Technologies, vol. 1, pp. 105-116, 2008.
E. Moore, M. A. Clements, J. W. Peifer, and L. Weisser, “Critical Analysis of the Impact of Glottal Features in the Classification of Clinical Depression in Speech,” IEEE Transactions on Biomedical Engineering, vol. 55, pp. 96-107, 2008.
G. AlRegib, M. H. Hayes, E. Moore, and D. B. Williams, “Technology and Tools to Enhance Distributed Engineering Education,” Proceedings of the IEEE, vol. 96, pp. 951-969, 2008.
M. E. Lee, A. S. Durey, E. Moore, and M. Clements, “Ultra Low Bit Rate Speech Coding Using an Ergodic Hidden Markov Model,” in Proceedings. (ICASSP ’05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2005, pp. 765-768.
E. Moore, M. Clements, J. Peifer, and L. Weisser, “Comparing objective feature statistics of speech for classifying clinical depression,” in Engineering in Medicine and Biology Society, 2004. IEMBS ’04. 26th Annual International Conference of the IEEE, 2004, pp. 17-20.
E. Moore and M. Clements, “Algorithm for automatic glottal waveform estimation without the reliance on precise glottal closure information,” in Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP ’04). IEEE International Conference on, 2004, pp. I-101-4 vol.1.
E. Moore, M. Clements, J. Peifer, and L. Weisser, “Analysis of prosodic variation in speech for clinical depression,” in Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, 2003, pp. 2925-2928 Vol.3.
E. Moore, M. Clements, J. Peifer, and L. Weisser, “Investigating the role of glottal features in classifying clinical depression,” in Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, 2003, pp. 2849-2852 Vol.3.