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Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models

Overview of attention for article published in arXiv, October 2025
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
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2 Bluesky users

Readers on

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3 Mendeley
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Article details
Title
Towards Reliable Objective Evaluation Metrics for Generative Singing Voice Separation Models
Published in
arXiv, October 2025
DOI 10.1109/waspaa66052.2025.11230934
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline
Readers by discipline Count As %
Computer Science 1 33%
Engineering 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 July 2025.
All research outputs
#20,706,647
of 29,707,359 outputs
Outputs from arXiv
#506,011
of 1,286,288 outputs
Outputs of similar age
#144,978
of 299,098 outputs
Outputs of similar age from arXiv
#35,143
of 91,148 outputs
Altmetric has tracked 29,707,359 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,286,288 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 52% 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 299,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 91,148 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.