Proportionate Adaptive Filtering Algorithms Derived Using an Iterative Reweighting Framework is a research paper published in IEEE/ACM Transactions on Audio Speech and Language Processing (2020). On theSindex it has a DataRank of 0. It has been cited 15 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institute on Deafness and Other Communication Disorders
Grant: R01DC015436
National Institute on Deafness and Other Communication Disorders
Grant: R33DC015046
Division of Information and Intelligent Systems
Grant: 1838830
SCH: INT: Collaborative Research: A Framework for Optimizing Hearing Aids In Situ Based on Patient Feedback, Auditory Context, and Audiologist Input
National Institutes of Health
Grant: 5R33DC015046-03
Self fitting of Amplification: Methodology and Candidacy
National Institutes of Health
Grant: 5R01DC015436-05
A Real-time, Open, Portable, Extensible Speech Lab
Fields of Study