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Leslie M. Collins
Duke University
$4,802,744
Attributed
$4,889,635
Total exposure
5
Grants
5
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $563.9K · FY2006–23$1M$750K$500K$250K$0
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$4,889,635 · 5
By mechanism
R01$2,647,107 · 2
R33$1,646,094 · 1
R21$422,652 · 1
R56$173,782 · 1
Top collaborators
- John H.L. Hansen1 shared
Others in their field
Top investigators on “Environment”
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Mitchell J Malone · Texas A&M Research Foundation$344,583,004
- Gary D Acton · University Of California-Davis$320,373,312
- Steven E Reis · University Of Pittsburgh At Pittsburgh$247,744,348
- Everette D Joseph · Howard University$244,517,972
- Eric J Barron · Pennsylvania State Univ University Park$244,517,972
Research focus
EnvironmentNoiseSignal TransductionAlgorithmsPerformanceBaseSpeech ProcessingCochlear ImplantsSpeech RecognitionSpeechVariantHome EnvironmentSimulationStimulusResearch StudyResponseAffectDevicesHearing Impaired PersonsPublic Health RelevanceAreaQuality Of LifeMasksResearch Personnel
Grant awards (16)
Leveraging Natural Language Processing for Reverberant Speech Enhancement in Cochlear Implants$173,782
R56 · FY2023 · DC · contact PI
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants$326,399
R01 · FY2019 · DC · contact PI
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants$326,840
R01 · FY2018 · DC · contact PI
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants$293,476
R01 · FY2017 · DC · contact PI
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants$293,885
R01 · FY2016 · DC · contact PI
Using Machine Learning to Mitigate Reverberation Effects in Cochlear Implants$289,263
R01 · FY2015 · DC · contact PI
Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface$533,903
R33 · FY2013 · DC · contact PI
Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface$563,899
R33 · FY2012 · DC · contact PI
Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface$548,292
R33 · FY2011 · DC · contact PI
Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface$222,311
R21 · FY2010 · DC · contact PI
Implementation and Tuning of Multi-rate Speech Processors for Cochlear Implants$219,171
R01 · FY2010 · DC · contact PI
Implementation and Tuning of Multi-rate Speech Processors for Cochlear Implants$221,386
R01 · FY2009 · DC · contact PI
Towards Clinical Acceptability: Enhancing the P300-based Brain-Computer Interface$200,341
R21 · FY2009 · DC · contact PI
Implementation and Tuning of Multi-rate Speech Processors for Cochlear Implants$221,386
R01 · FY2008 · DC · contact PI
Implementation and Tuning of Multi-rate Speech Processors for Cochlear Implants$224,301
R01 · FY2007 · DC · contact PI
Implementation and Tuning of Multi-rate Speech Processors for Cochlear Implants$231,000
R01 · FY2006 · DC · contact PI