Adopted Singing Voice Evaluation Models for Work Efficiency in the Recording Industry

In the context of industry demands, singers benefit from producing high singing efficiency. The research focuses on understanding and predicting singers' work efficiency controls, which are assessed using rework times (RwT) in recording studios. A comprehensive literature synthesis was conducted to identify nine critical factors combining advancements in both the acoustic field and recording practices. Each of these potential variables was measured while ten individual singers independently performed the same original song. The musical passages (n = 380) were analyzed using the multiple linear regression method. The findings indicate that: 1. RwT during the recording process are mainly predicted by intensity, singing duration, and rhythm consistency. 2. Intensity significantly affects RwT, acting as a negative factor. 3. The interaction between intensity and singing duration has a positive impact on RwT. We discussed the definition of intensity in vocal applications and how singers adjust recording efficiency.

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Publication Details

Journal
Journal of Voice
Published
2025-04-01
DOI
https://doi.org/10.1016/j.jvoice.2025.03.029
Primary Topic
Vehicle Noise and Vibration Control
Type
article
Field-Weighted Citation Impact
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article

Adopted Singing Voice Evaluation Models for Work Efficiency in the Recording Industry

Su Qin, Huang Xuejie
Journal of Voice
Vehicle Noise and Vibration Control
article

Adopted Singing Voice Evaluation Models for Work Efficiency in the Recording Industry

Su Qin, Huang Xuejie
article en

Abstract

In the context of industry demands, singers benefit from producing high singing efficiency. The research focuses on understanding and predicting singers' work efficiency controls, which are assessed using rework times (RwT) in recording studios. A comprehensive literature synthesis was conducted to identify nine critical factors combining advancements in both the acoustic field and recording practices. Each of these potential variables was measured while ten individual singers independently performed the same original song. The musical passages (n = 380) were analyzed using the multiple linear regression method. The findings indicate that: 1. RwT during the recording process are mainly predicted by intensity, singing duration, and rhythm consistency. 2. Intensity significantly affects RwT, acting as a negative factor. 3. The interaction between intensity and singing duration has a positive impact on RwT. We discussed the definition of intensity in vocal applications and how singers adjust recording efficiency.

Journal of Voice
Chongqing University (CN), Chongqing University of Arts and Sciences (CN)
Decent work and economic growth
Openalex Percentile: Top 93%
Vehicle Noise and Vibration Control
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