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Pronunciation augmentation for Mandarin-English code-switching speech recognition

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, August 2021
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About this Attention Score

  • Among the highest-scoring outputs from this source (#23 of 131)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
Title
Pronunciation augmentation for Mandarin-English code-switching speech recognition
Published in
EURASIP Journal on Audio, Speech, and Music Processing, August 2021
DOI 10.1186/s13636-021-00222-7
Authors

Yanhua Long, Shuang Wei, Jie Lian, Yijie Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 8%
Student > Master 1 8%
Unknown 11 85%
Readers by discipline Count As %
Computer Science 2 15%
Agricultural and Biological Sciences 1 8%
Unknown 10 77%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 August 2022.
All research outputs
#6,602,824
of 25,392,582 outputs
Outputs from EURASIP Journal on Audio, Speech, and Music Processing
#23
of 131 outputs
Outputs of similar age
#125,922
of 434,209 outputs
Outputs of similar age from EURASIP Journal on Audio, Speech, and Music Processing
#1
of 2 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 82% 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 434,209 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 70% of its contemporaries.
We're also able to compare this research output to 2 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