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Noisy training for deep neural networks in speech recognition

Overview of attention for article published in EURASIP Journal on Audio Speech, & Music Processing, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
71 Mendeley
Title
Noisy training for deep neural networks in speech recognition
Published in
EURASIP Journal on Audio Speech, & Music Processing, January 2015
DOI 10.1186/s13636-014-0047-0
Authors

Shi Yin, Chao Liu, Zhiyong Zhang, Yiye Lin, Dong Wang, Javier Tejedor, Thomas Fang Zheng, Yinguo Li

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
France 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Student > Master 11 15%
Researcher 9 13%
Professor > Associate Professor 6 8%
Student > Postgraduate 4 6%
Other 8 11%
Unknown 19 27%
Readers by discipline Count As %
Computer Science 28 39%
Engineering 11 15%
Arts and Humanities 2 3%
Mathematics 2 3%
Physics and Astronomy 1 1%
Other 6 8%
Unknown 21 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 May 2020.
All research outputs
#4,986,804
of 17,687,978 outputs
Outputs from EURASIP Journal on Audio Speech, & Music Processing
#12
of 96 outputs
Outputs of similar age
#98,278
of 287,397 outputs
Outputs of similar age from EURASIP Journal on Audio Speech, & Music Processing
#1
of 1 outputs
Altmetric has tracked 17,687,978 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 96 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 87% of its peers.
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 287,397 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 65% of its contemporaries.
We're also able to compare this research output to 1 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