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Joint Adversarial Training of Speech Recognition and Synthesis Models for Many-to-One Voice Conversion Using Phonetic Posteriorgrams

Overview of attention for article published in IEICE Transactions on Information and Systems, September 2020
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3 X users

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8 Mendeley
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Title
Joint Adversarial Training of Speech Recognition and Synthesis Models for Many-to-One Voice Conversion Using Phonetic Posteriorgrams
Published in
IEICE Transactions on Information and Systems, September 2020
DOI 10.1587/transinf.2019edp7297
Authors

Yuki SAITO, Kei AKUZAWA, Kentaro TACHIBANA

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Master 2 25%
Researcher 1 13%
Unspecified 1 13%
Unknown 2 25%
Readers by discipline Count As %
Computer Science 3 38%
Unspecified 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 December 2020.
All research outputs
#14,497,073
of 23,234,261 outputs
Outputs from IEICE Transactions on Information and Systems
#227
of 281 outputs
Outputs of similar age
#221,546
of 399,418 outputs
Outputs of similar age from IEICE Transactions on Information and Systems
#1
of 2 outputs
Altmetric has tracked 23,234,261 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 281 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 17th percentile – i.e., 17% 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 399,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
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