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Wav2wav: Wave-to-Wave Voice Conversion

Overview of attention for article published in Applied Sciences, May 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Wav2wav: Wave-to-Wave Voice Conversion
Published in
Applied Sciences, May 2024
DOI 10.3390/app14104251
Authors

Changhyeon Jeong, Hyung-pil Chang, In-Chul Yoo, Dongsuk Yook

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 May 2024.
All research outputs
#14,900,258
of 26,170,895 outputs
Outputs from Applied Sciences
#2,601
of 15,917 outputs
Outputs of similar age
#93,559
of 272,666 outputs
Outputs of similar age from Applied Sciences
#21
of 139 outputs
Altmetric has tracked 26,170,895 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,917 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 83% 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 272,666 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 139 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.