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Speaker adaptation in the maximum a posteriori framework based on the probabilistic 2-mode analysis of training models

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, April 2013
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Title
Speaker adaptation in the maximum a posteriori framework based on the probabilistic 2-mode analysis of training models
Published in
EURASIP Journal on Audio, Speech, and Music Processing, April 2013
DOI 10.1186/1687-4722-2013-7
Authors

Yongwon Jeong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Researcher 2 40%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Engineering 3 60%
Computer Science 1 20%
Mathematics 1 20%
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 11 April 2013.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#118
of 131 outputs
Outputs of similar age
#186,277
of 212,371 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 3 outputs
Altmetric has tracked 25,374,647 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 212,371 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 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them