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Real-Time Full-Band Voice Conversion with Sub-Band Modeling and Data-Driven Phase Estimation of Spectral Differentials

Overview of attention for article published in IEICE Transactions on Information and Systems, July 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 320)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

twitter
17 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Real-Time Full-Band Voice Conversion with Sub-Band Modeling and Data-Driven Phase Estimation of Spectral Differentials
Published in
IEICE Transactions on Information and Systems, July 2021
DOI 10.1587/transinf.2020edp7252
Authors

Takaaki SAEKI, Yuki SAITO, Shinnosuke TAKAMICHI, Hiroshi SARUWATARI

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 57%
Student > Bachelor 1 14%
Unspecified 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Unspecified 1 14%
Social Sciences 1 14%
Engineering 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 02 November 2022.
All research outputs
#2,985,203
of 24,736,359 outputs
Outputs from IEICE Transactions on Information and Systems
#6
of 320 outputs
Outputs of similar age
#68,831
of 433,647 outputs
Outputs of similar age from IEICE Transactions on Information and Systems
#2
of 3 outputs
Altmetric has tracked 24,736,359 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 320 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 433,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
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.