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Distinctive Features

Authors: Mark A. Hasegawa-Johnson;

Distinctive Features

Abstract

I was the Hunt Post-Doctoral Fellow in 1996–1997; my Hunt fellowship led directly to a successful application for an NIH R01 post-doctoral fellowship with the same mentor, which led, in turn, to my current position as Professor at the University of Illinois. As part of my Hunt post-doc, I rented a very low frequency electromagnetic field meter, and demonstrated that the articulograph presents minimal risk to human subjects; this was published as my first article in JASA. As part of my NIH post-doc, I acquired MRI of static vowel configurations (http://isle.illinois.edu/sst/data/mri/), and demonstrated that a PARAFAC rank-3 factor analysis of the English vowels supports two speaker-independent factors matching the distinctive features. As part of my research in Urbana, I have developed automatic speech recognizers using distinctive feature models grounded in both speech production and speech perception. In 2015, Preethi Jyothi and I published the idea of mismatched crowdsourcing: an American listening to Uyghur is modeled as a machine who transcribes each distinctive feature shared by the two languages, with an error probability related to the similarity with which the two languages use the feature.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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