The long-term goal of this project is to further our understanding of how the auditory system forms pitch percepts and how pitch or fundamental frequency is used to separate sounds coming from different sources. The project has 3 main aims, all of which combine psychophysical experiments with computational modeling.
The first aim i s to elucidate how the pitch of single harmonic complex sounds is coded in normal and impaired hearing. We hypothesize that the reduced availability of resolved harmonics, in conjunction with a reduction in the coding accuracy of individual harmonics, can predict many difficulties experienced by hearing-impaired listeners in more complex acoustic environments.
The second aim i s to continue our search for the mechanisms underlying our ability to perceive multiple pitches and to hear out 1 pitch in the presence of other competing complexes. By studying carefully controlled situations where the stimuli either completely overlap in spectrum or do not overlap at all, we are able to control the degree to which individual harmonics within the complexes are resolved. These situations serve as models for the more complex situations, where multiple partially-overlapping sounds combine to form our everyday acoustic environment.
The third aim takes a more applied approach by examining the role of pitch and fundamental frequency in speech and music perception. Using simulations of cochlear-implant processing we will elucidate the mechanisms involved in providing a benefit under conditions of residual hearing (acoustic plus electric stimulation) and assess the degree to which the benefit can be ascribed to improved pitch information. We will also begin a systematic analysis of the presence (or lack thereof) of resolved harmonics in everyday acoustic situations, such as speech in the presence of competing talkers and music in small ensembles. The data from these analyses will provide strong constraints for models of complex pitch perception that rely to varying degrees on the presence of resolved harmonics. Understanding how pitch is coded and utilized in the normal and impaired auditory system should have important implications for the design and development of auditory prostheses, such as cochlear implants, and for source segregation algorithms within automatic speech recognition systems.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
5R01DC005216-09
Application #
7558929
Study Section
Auditory System Study Section (AUD)
Program Officer
Donahue, Amy
Project Start
2002-02-15
Project End
2012-01-31
Budget Start
2009-02-01
Budget End
2010-01-31
Support Year
9
Fiscal Year
2009
Total Cost
$300,752
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Whiteford, Kelly L; Oxenham, Andrew J (2018) Learning for pitch and melody discrimination in congenital amusia. Cortex 103:164-178
Allen, Emily J; Moerel, Michelle; Lage-Castellanos, Agustín et al. (2018) Encoding of natural timbre dimensions in human auditory cortex. Neuroimage 166:60-70
Oxenham, Andrew J (2018) How We Hear: The Perception and Neural Coding of Sound. Annu Rev Psychol 69:27-50
Mehta, Anahita H; Oxenham, Andrew J (2018) Fundamental-frequency discrimination based on temporal-envelope cues: Effects of bandwidth and interference. J Acoust Soc Am 144:EL423
Mehta, Anahita H; Jacoby, Nori; Yasin, Ifat et al. (2017) An auditory illusion reveals the role of streaming in the temporal misallocation of perceptual objects. Philos Trans R Soc Lond B Biol Sci 372:
Wojtczak, Magdalena; Mehta, Anahita H; Oxenham, Andrew J (2017) Rhythm judgments reveal a frequency asymmetry in the perception and neural coding of sound synchrony. Proc Natl Acad Sci U S A 114:1201-1206
Graves, Jackson E; Oxenham, Andrew J (2017) Familiar Tonal Context Improves Accuracy of Pitch Interval Perception. Front Psychol 8:1753
Allen, Emily J; Burton, Philip C; Olman, Cheryl A et al. (2017) Representations of Pitch and Timbre Variation in Human Auditory Cortex. J Neurosci 37:1284-1293
Lau, Bonnie K; Mehta, Anahita H; Oxenham, Andrew J (2017) Superoptimal Perceptual Integration Suggests a Place-Based Representation of Pitch at High Frequencies. J Neurosci 37:9013-9021
Mehta, Anahita H; Oxenham, Andrew J (2017) Vocoder Simulations Explain Complex Pitch Perception Limitations Experienced by Cochlear Implant Users. J Assoc Res Otolaryngol 18:789-802

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