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Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, June 2010
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6 X users
facebook
2 Facebook pages

Citations

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Readers on

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10 Mendeley
Title
Employing Second-Order Circular Suprasegmental Hidden Markov Models to Enhance Speaker Identification Performance in Shouted Talking Environments
Published in
EURASIP Journal on Audio, Speech, and Music Processing, June 2010
DOI 10.1155/2010/862138
Authors

Ismail Shahin

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Professor 1 10%
Librarian 1 10%
Student > Master 1 10%
Student > Ph. D. Student 1 10%
Other 0 0%
Unknown 4 40%
Readers by discipline Count As %
Engineering 3 30%
Materials Science 1 10%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2017.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#74
of 131 outputs
Outputs of similar age
#76,391
of 96,574 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#3
of 3 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 96,574 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.