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Trinity's Access to Research Archive
Thesis . 2012 . Peer-reviewed
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Predicting speech intelligibility

descriptionPublicationkeyboard_double_arrow_right Thesis , Doctoral thesis 01 Jan 2012 Ireland English Publisher:Trinity College (Dublin, Ireland). Department of Electronic & Electrical EngineeringPublicly funded
Authors: Hines, Andrew;

handle: 2262/77031

Predicting speech intelligibility

Abstract

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Country
Ireland
Related Organizations
Keywords

Ph.D, automated approach, 330, Ph.D. Trinity College Dublin, 610, Computer Engineering, Electronic & Electrical Engineering, Ph.D., Electronic & Electrical Engineering, speech intelligibility, 004, Hearing impairment, 620

  • BIP!
    Impact byBIP!
    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
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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!
0
Average
Average
Average
Green
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