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Wise teachers train better DNN acoustic models

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, April 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 131)
  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
1 patent

Readers on

mendeley
26 Mendeley
Title
Wise teachers train better DNN acoustic models
Published in
EURASIP Journal on Audio, Speech, and Music Processing, April 2016
DOI 10.1186/s13636-016-0088-7
Authors

Ryan Price, Ken-ichi Iso, Koichi Shinoda

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Researcher 4 15%
Student > Ph. D. Student 2 8%
Lecturer 1 4%
Student > Bachelor 1 4%
Other 4 15%
Unknown 8 31%
Readers by discipline Count As %
Computer Science 8 31%
Engineering 8 31%
Physics and Astronomy 1 4%
Economics, Econometrics and Finance 1 4%
Unknown 8 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2022.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#34
of 131 outputs
Outputs of similar age
#115,300
of 316,298 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#3
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 48th percentile – i.e., 48% 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 316,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.