The Speech Perception Laboratory

Institute for Advanced Study of the Communication Processes (IASCP)

University of Florida

 

Project: Perceptual correlates to vocal aging

 

Staff: James Harnsberger, Rahul Shrivastav, W.S. Brown, Jr., Harry Hollien, Howard Rothman, Kelly Jones, Melissa Iandoli, Dorothy Bourgeoise, Divya Gogoi

 

Funding: None

 

Relevant publications and conference presentations:

  • Harnsberger, J, D. “Voice, articulation, and prosodic correlates to chronologic age in speakers of American English.” To be presented at the Florida Chapter of the Acoustical Society of America, 2009.
  • Harnsberger, J. D., Brown, W. S., Shrivastav, R., and Rothman, H. B. (accepted) “Noise and tremor in the perception of vocal aging in males.” Journal of Voice.
  • Harnsberger, J. D., Shrivastav, R., Brown, W.S., Jr., Rothman, H., Hollien, H. (2008). “Speaking rate and fundamental frequency as cues to perceived age in speech.” Journal of Voice 22: 58-69.
  • Harnsberger, J. D. “Exploring the consequences of the aging process on the articulation and perception of speech.” Workshop on Vocal Aging Explained by Vocal Tract Modeling, John Hopkins University, August, 2008.
  • Harnsberger, J, D. “Acoustic correlates to perceived age in American English.” To be presented at the 157th Meeting of the Acoustical Society of America, 2009.
  • Bourgeoise, D., Brown, W. S., Shrivastav, R., and Rothman, H. B., and Harnsberger, J, D. “Perceived age in normal and pathological voices.” Presented at the 156th Meeting of the Acoustical Society of America, 2008.
  • Harnsberger, J. D., Brown, W. S., Shrivastav, R., and Rothman, H. B. “Tremor and Breathiness in the Perception of Vocal Aging in Males.” Presented at the 37th Annual Symposium: Care of the professional voice, The Voice Foundation, 2008.
  • Harnsberger, J. D., Brown, W. S., Rothman, H. B., and Shrivastav, R. “The male-female coalescence model as applied to nonsingers and trained singers.” Presented at the 36th Annual Symposium: Care of the professional voice, The Voice Foundation, 2007.
  • Harnsberger, J. D., Shrivastav, R., Brown, W.S., Jr., Rothman, H., Hollien, H. (2008). “Speaking rate and fundamental frequency as cues to perceived age in speech.” Journal of Voice Journal of Voice 22: 58-69.
  • Harnsberger, J. D., Brown, W. S., Rothman, H. B., Morris, R. J. and Shrivastav, R. “Vocal Aging in Male and Female Singers and Nonsingers.” Presented at the 35th Annual Symposium: Care of the professional voice, The Voice Foundation, 2006.
  • Harnsberger, J. D., Rothman, H. B., Brown, W. S.,  Shrivastav , R. and Hollien, H. “Cues to vocal aging in older and middle-aged male voices.” Presented at the 34th Annual Symposium: Care of the professional voice, The Voice Foundation, 2005.
  • Rothman, H. B., Shrivastav , R., H., Brown, W. S., Harnsberger, J. D. and Hollien, “Fundamental frequency and speaking rate as perceptual cues for aging in male speakers.” Presented at the 33rd Annual Symposium: Care of the professional voice, The Voice Foundation, 2004.
  • Shrivastav , R., Hollien, H., Brown, W. S., Rothman, H. B., and Harnsberger, J. D. “Shifting perceptions of age in voice.” Presented at the 146th Meeting of the Acoustical Society of America, 2003.

 

This study has three aims. Our first aim was to develop a database of a significant number of young, middle-aged and old speakers of both sexes spanning a diverse range of spoken materials. This database includes 1) read paragraphs, 2) phonetically balanced sentences, 3) nonsense words that incorporate a range of articulatory gestures and 4) sustained vowels. This database has provided materials not only for the specific purposes of this study, but also for subsequent experiments envisioned for an expanded research program beyond this proposal. Our second aim is to measure a large set of candidate acoustic cues for the perception of age in voices. Speakers will be selected from the database who are both chronologically old/young and perceptually old/young (as measured in an initial age estimation task).  Our third aim is to investigate the perceptual relevance of the cues identified in the acoustic analysis by resynthesizing sentences from the database and systematically manipulating these cues to observe their effect on perceived age. We expect to find at least a subset of these cues to differentiate speakers by age, and we will be able to rank order these cues by the magnitude of their effect on the perception of age. 

 



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Last Updated 04-01-09