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Efficient voice activity detection algorithm using long-term spectral flatness measure

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, July 2013
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1 X user

Citations

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51 Dimensions

Readers on

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59 Mendeley
Title
Efficient voice activity detection algorithm using long-term spectral flatness measure
Published in
EURASIP Journal on Audio, Speech, and Music Processing, July 2013
DOI 10.1186/1687-4722-2013-21
Authors

Yanna Ma, Akinori Nishihara

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Netherlands 1 2%
Poland 1 2%
France 1 2%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 22%
Student > Ph. D. Student 12 20%
Student > Master 10 17%
Student > Bachelor 2 3%
Professor 2 3%
Other 6 10%
Unknown 14 24%
Readers by discipline Count As %
Engineering 22 37%
Computer Science 17 29%
Business, Management and Accounting 1 2%
Mathematics 1 2%
Arts and Humanities 1 2%
Other 4 7%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 10 August 2018.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#118
of 131 outputs
Outputs of similar age
#183,496
of 206,371 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#3
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 206,371 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.