Area:
Auditory Neuroscience
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Jayaganesh Swaminathan is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2013 |
Swaminathan, Jayaganesh |
R43Activity Code Description: To support projects, limited in time and amount, to establish the technical merit and feasibility of R&D ideas which may ultimately lead to a commercial product(s) or service(s). |
Development of Physiologically Inspired Signal Processing Strategies For Cochlear @ Sensimetrics Corporation
DESCRIPTION (provided by applicant): Cochlear implants (CI) are neural prostheses that provide meaningful auditory experience to more than 200,000 deaf patients worldwide. Despite significant success in quiet listening conditions, CIs currently provide only limited benefit in nosy real world situations. A critical limitation of the signal processing strategies employed by curren CIs is that they provide only a crude approximation of the processing that occurs in a healthy inner ear. In particular, current strategies only provide the envelope cues of band-pass filtered speech; the rapidly varying temporal fine structure cues associated with the carriers are simply not conveyed. Studies with normal-hearing listeners have shown that these temporal fine structure cues are converted into amplitude envelope cues by the peripheral auditory system. The aim of the study in Phase I is to develop processing that mimics that fine-structure -to-envelope conversion for CIs. Processing strategies will be tested with CI users through use of an experimental interface that allows direct control of signals modulating the pulse streams to the CI electrodes. Experimental processing algorithms will be compared to users' personal processors on tests of speech reception in quiet and noise. If the results of Phase I show that the new signal processing strategies provide intelligibility benefits, work in Phase II will be aimd at: customizing the signal processing strategies for individual listeners; evaluating the benefits f the new signal processing strategies in reverberation; implementation of the new signal processing strategies on wearable processors; and field testing of cochlear implantees with prototype devices that incorporate the new signal processing strategies. Success in this project will result in enhanced speech reception by CI users in everyday noisy backgrounds.
|
0.909 |