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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 (#5 of 257)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

twitter
18 tweeters

Readers on

mendeley
6 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

Twitter Demographics

The data shown below were collected from the profiles of 18 tweeters 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 67%
Student > Bachelor 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Social Sciences 1 17%
Engineering 1 17%
Unknown 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 12 June 2022.
All research outputs
#2,245,233
of 21,562,248 outputs
Outputs from IEICE Transactions on Information and Systems
#5
of 257 outputs
Outputs of similar age
#51,054
of 340,253 outputs
Outputs of similar age from IEICE Transactions on Information and Systems
#2
of 2 outputs
Altmetric has tracked 21,562,248 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 257 research outputs from this source. They receive a mean Attention Score of 3.5. 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 340,253 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 2 others from the same source and published within six weeks on either side of this one.