Evidence map›Paper›PMID 33856659›Full record

ArticleJournal of applied genetics2021

Genetically related singers-acoustic feature analysis and impact on singer identification.

Deepali Y Loni, Shaila Subbaraman

Abstract read
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In one paragraph

Article in Journal of applied genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Deepali Y LoniDepartment of Electronics, Textile & Engineering Institute, Ichalkaranji, India. dhangdeepali@gmail.com.ORCID http://orcid.org/0000-0001-7028-8845
Shaila SubbaramanWalchand College of Engineering, Sangli, India.
DKTE Society's Textile and Engineering Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies relating music with genetics have been one of the fascinating fields of research. In this study, we have attempted to answer the most curious question-how acoustically close are the genetically related singers? The present study has investigated this perception using two genetically different relations-three female sibling singers and father-son singer relation. These are famous Indian playback singers and the acoustic features are extracted using the songs of Bollywood films. Three different sets of self-developed cappella database are used for the experimentation. Positive correlations among the major musical aptitudes-pitch, vibrato, formant, and harmonic spectral envelope for both the singer relationships-revealed the genetic impact on the acoustic features. Also, the investigation of timbre spectral feature proved it a significant acoustic feature that differentiates similar voices. With Spearman's correlation coefficient, we conclude that strong acoustical association was observed between the acoustic features of genetically related singers, especially the female sibling singers. This was further validated by correlating these singers with genetically unrelated singers. A human perception test performed using cover songs indicated the genetic impact in voice similarity, while the automatic singer identification system discriminated singers more accurately than the human listeners.

Indexed as

AcousticsFemaleHumansMaleMusicParentsSiblingsSingingVoice QualityFormantsGeneticsPitchSiblingSinger identificationSinging voiceTimbreVibrato

Identifiers

PMID33856659
OpenAlexW3156167950

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.