Elliot Moore II, Ph.D.

Assistant Professor, Electrical and Computer Engineering
Contact
Office: EDRB B250
Phone: 912-966-7911
Email: elliot.moore@ece.gatech.edu
Research Thrusts
Digital Signal Processing
Speech Analysis
Education
Ph.D., Georgia Institute of Technology, 2003
M.S., Georgia Institute of Technology, 1999
B.E.E., Georgia Institute of Technology, 1998
Research Interests
  • Speech feature extraction, analysis and integration
  • Speech recognition and synthesis
  • Glottal waveform (voice source) analysis, estimation and quality evaluation
  • Speaker characterization
  • Vocal affect (emotion/stress) analysis and classification
  • Speaker identity/verification
  • Language/dialect identification
  • Vocal analysis of physical dimensions (i.e., height, weight, etc.)
  • Voice/speech pathologies

Dr. Moore’s primary research interests are in finding objective markers in speech that can be used to characterize the human condition. His interests go beyond merely identifying particular speakers (e.g., speaker identification) or determining language content (e.g., speech recognition) and rather involve the analysis of the speakers themselves. The current focus of his research centers around the analysis of vocal affect (i.e., emotion or stress) in the voice as it relates to the overall mental state of the speaker. He has done work on analyzing the effectiveness of objective speech features as indicators of clinical depression and is continuing to explore other types of emotional disorders and types of affective expression. A closely related topic to the analysis of objective speech features in Dr. Moore’s work is the extraction and analysis of the voice source (i.e., glottal waveform). Funding provided by an NSF CAREER grant has allowed him to investigate methods for voice source extraction and integration into speaker analysis. Glottal source measures are rarely included in speech analysis studies due to the difficulty in obtaining estimations from the acoustic speech waveform. The creation of robust glottal extraction algorithms for incorporation into all manners of speech analysis research is a major area of interest in Dr. Moore’s work. Dr. Moore is a member of IEEE’s Signal Processing Society and Engineering and Medicine and Biology society. He is also a member of the Acoustical Society of America.