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Factors Predicting Singers’ Work Efficiency and Singers’ Singing Peak

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Akaike, H. (1973). Information Theory and an Extension of the Maximum Likelihood Principle. Foundations and Basic Theory, 1, 267–281. AkaikeH. 1973 Information Theory and an Extension of the Maximum Likelihood Principle Foundations and Basic Theory 1 267 281 Search in Google Scholar

Banse, R., & Scherer, K. R. (1996). Acoustic Profiles in Vocal Emotion Expression. Journal of Personality and Social Psychology, 70(3), 614–636. https://doi.org/10.1037/0022-3514.70.3.614 BanseR. SchererK. R. 1996 Acoustic Profiles in Vocal Emotion Expression Journal of Personality and Social Psychology 70 3 614 636 https://doi.org/10.1037/0022-3514.70.3.614 Search in Google Scholar

Chen, X., Yang, J., Gan, S., & Yang, Y. (2012). The contribution of sound intensity in vocal emotion perception: Behavioral and electrophysiological evidence. PLoS ONE, 7(1). https://doi.org/10.1371/journal.pone.0030278 ChenX. YangJ. GanS. YangY. 2012 The contribution of sound intensity in vocal emotion perception: Behavioral and electrophysiological evidence PLoS ONE 7 1 https://doi.org/10.1371/journal.pone.0030278 Search in Google Scholar

Cuadrado, M., Miquel, M. J., & Montoro, J. D. (2015). Analyzing Music Services Positioning through Qualitative Research. Market-Tržište, 27(2), 251–263. https://doi.org/https://hrcak.srce.hr/151325 CuadradoM. MiquelM. J. MontoroJ. D. 2015 Analyzing Music Services Positioning through Qualitative Research Market-Tržište 27 2 251 263 https://doi.org/https://hrcak.srce.hr/151325 Search in Google Scholar

Eidsheim, N. S. (2011). Sensing Voice-Materiality and the Lived Body in Singing and Listening.pdf. Science&Society, 6(2), 133–155. EidsheimN. S. 2011 Sensing Voice-Materiality and the Lived Body in Singing and Listening.pdf Science&Society 6 2 133 155 Search in Google Scholar

Grady, M. L., & Cook-Cunningham, S. L. (2020). The Effects of Three Physical and Vocal Warm-up Procedures on Acoustic and Perceptual Measures of Choral Sound: Study Replication With Younger Populations. Journal of Voice, 34(4), 647.e15–647.e22. https://doi.org/10.1016/j.jvoice.2018.12.009 GradyM. L. Cook-CunninghamS. L. 2020 The Effects of Three Physical and Vocal Warm-up Procedures on Acoustic and Perceptual Measures of Choral Sound: Study Replication With Younger Populations Journal of Voice 34 4 647.e15 647.e22 https://doi.org/10.1016/j.jvoice.2018.12.009 Search in Google Scholar

Han, Q., & Zhang, R. (2017). Acoustic Analyses of the Singing Vibrato in Traditional Peking Opera. Journal of Voice, 31(4), 511.e1–511.e9. https://doi.org/10.1016/j.jvoice.2016.11.016 HanQ. ZhangR. 2017 Acoustic Analyses of the Singing Vibrato in Traditional Peking Opera Journal of Voice 31 4 511.e1 511.e9 https://doi.org/10.1016/j.jvoice.2016.11.016 Search in Google Scholar

Herbst, J., & Tim, A. (2018). The Work Realities of Professional Studio Musicians in the German Popular Music Recording Industry: Careers, Practices and Economic Situations. IASPM Journal, 8(2), 18–37. https://doi.org/10.5429/2079-3871(2018)v8i2.3en HerbstJ. TimA. 2018 The Work Realities of Professional Studio Musicians in the German Popular Music Recording Industry: Careers, Practices and Economic Situations IASPM Journal 8 2 18 37 https://doi.org/10.5429/2079-3871(2018)v8i2.3en Search in Google Scholar

Hutchins, S., Larrouy-maestri, P., & Peretz, I. (2014). Singing ability is rooted in vocal-motor control of pitch. Atten Percept Psychophys, July, 2522–2530. https://doi.org/10.3758/s13414-014-0732-1 HutchinsS. Larrouy-maestriP. PeretzI. 2014 Singing ability is rooted in vocal-motor control of pitch Atten Percept Psychophys July 2522 2530 https://doi.org/10.3758/s13414-014-0732-1 Search in Google Scholar

Kim, J., & Kang, M. Y. (2022). Sustainable success in the music industry: Empirical analysis of music preferences. Journal of Business Research, 142(January), 1068–1076. https://doi.org/10.1016/j.jbusres.2022.01.021 KimJ. KangM. Y. 2022 Sustainable success in the music industry: Empirical analysis of music preferences Journal of Business Research 142 January 1068 1076 https://doi.org/10.1016/j.jbusres.2022.01.021 Search in Google Scholar

Lerch, A., Arthur, C., Pati, A., & Gururani, S. (2020). An Interdisciplinary Review of Music Performance Analysis. Transactions of the International Society for Music Information Retrieval, 3(1), 221–245. https://doi.org/10.5334/tismir.53 LerchA. ArthurC. PatiA. GururaniS. 2020 An Interdisciplinary Review of Music Performance Analysis Transactions of the International Society for Music Information Retrieval 3 1 221 245 https://doi.org/10.5334/tismir.53 Search in Google Scholar

Madudová, E. (2017). Creative industries value chain: The value chain logic in supply chain relationships. Marketing and Branding Research, 4(3), 227–235. https://doi.org/10.33844/mbr.2017.60236 MadudováE. 2017 Creative industries value chain: The value chain logic in supply chain relationships Marketing and Branding Research 4 3 227 235 https://doi.org/10.33844/mbr.2017.60236 Search in Google Scholar

Maslow, A. (1971). Farther reaches of human nature. MaslowA. 1971 Farther reaches of human nature Search in Google Scholar

Na, D. E. C., & Hipertensiva, C. (2022). Introduction to Mediation, Moderation and Conditional Process Analysis-A Regression-based Approach.pdf. NaD. E. C. HipertensivaC. 2022 Introduction to Mediation, Moderation and Conditional Process Analysis-A Regression-based Approach.pdf Search in Google Scholar

O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality and Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135-006-9018-6 O’BrienR. M. 2007 A caution regarding rules of thumb for variance inflation factors Quality and Quantity 41 5 673 690 https://doi.org/10.1007/s11135-006-9018-6 Search in Google Scholar

Paul, D. (2012). A musicianship for the recording studio. In Sound musicianship: Understanding the crafts of music (pp. 1–6). Cambridge Scholars. PaulD. 2012 A musicianship for the recording studio In Sound musicianship: Understanding the crafts of music 1 6 Cambridge Scholars Search in Google Scholar

Perrett Jr., H. H. (2011). New Business Models for Music. Villanova Sports and Entertainment Law Journal, 18(January), 63. PerrettH. H.Jr. 2011 New Business Models for Music Villanova Sports and Entertainment Law Journal 18 January 63 Search in Google Scholar

Petekkaya, E., Özandaç Polat, S., & Hilmi Yücel, A. (2018). Comparative Analysis of Vocal Intensity and Aerodynamic Parameters between Singers and Non-Singers. SM Otolaryngology, 2(1), 1–4. https://doi.org/10.36876/smotol.1016 PetekkayaE. Özandaç PolatS. Hilmi YücelA. 2018 Comparative Analysis of Vocal Intensity and Aerodynamic Parameters between Singers and Non-Singers SM Otolaryngology 2 1 1 4 https://doi.org/10.36876/smotol.1016 Search in Google Scholar

Portet, S. (2020). A primer on model selection using the Akaike Information Criterion. Infectious Disease Modelling, 5, 111–128. https://doi.org/10.1016/j.idm.2019.12.010 PortetS. 2020 A primer on model selection using the Akaike Information Criterion Infectious Disease Modelling 5 111 128 https://doi.org/10.1016/j.idm.2019.12.010 Search in Google Scholar

Rink, J. (2002). Analysis and (or?) performance. In J. Rink (Ed.), Musical Performance: A Guide to Understanding (pp. 35–58). Cambridge University Press. https://doi.org/DOI: 10.1017/CBO9780511811739.004 RinkJ. 2002 Analysis and (or?) performance In RinkJ. (Ed.), Musical Performance: A Guide to Understanding 35 58 Cambridge University Press https://doi.org/DOI: 10.1017/CBO9780511811739.004 Search in Google Scholar

Ruoslahti, H. (2020). Complexity in project co-creation of knowledge for innovation. Journal of Innovation and Knowledge, 5(4), 228–235. https://doi.org/10.1016/j.jik.2019.12.004 RuoslahtiH. 2020 Complexity in project co-creation of knowledge for innovation Journal of Innovation and Knowledge 5 4 228 235 https://doi.org/10.1016/j.jik.2019.12.004 Search in Google Scholar

Saragih, H. S. (2017). Critical success factors of recording studio in Indonesia. Asia Pacific Journal of Marketing and Logistics, 29(3), 686–699. https://doi.org/10.1108/APJML-07-2016-0123 SaragihH. S. 2017 Critical success factors of recording studio in Indonesia Asia Pacific Journal of Marketing and Logistics 29 3 686 699 https://doi.org/10.1108/APJML-07-2016-0123 Search in Google Scholar

Saragih, H. S., Simatupang, T. M., & Sunitiyoso, Y. (2019). Co-innovation processes in the music business. Heliyon, 5(4). https://doi.org/10.1016/j.heliyon.2019.e01540 SaragihH. S. SimatupangT. M. SunitiyosoY. 2019 Co-innovation processes in the music business Heliyon 5 4 https://doi.org/10.1016/j.heliyon.2019.e01540 Search in Google Scholar

Scherer, K. R., Sundberg, J., Fantini, B., Trznadel, S., & Eyben, F. (2017). The expression of emotion in the singing voice: Acoustic patterns in vocal performance. The Journal of the Acoustical Society of America, 142(4), 1805–1815. https://doi.org/10.1121/1.5002886 SchererK. R. SundbergJ. FantiniB. TrznadelS. EybenF. 2017 The expression of emotion in the singing voice: Acoustic patterns in vocal performance The Journal of the Acoustical Society of America 142 4 1805 1815 https://doi.org/10.1121/1.5002886 Search in Google Scholar

Silas, S., Müllensiefen, D., & Kopiez, R. (2023). Singing Ability Assessment: Development and validation of a singing test based on item response theory and a general open-source software environment for singing data. Behavior Research Methods, 0123456789. https://doi.org/10.3758/s13428-023-02188-0 SilasS. MüllensiefenD. KopiezR. 2023 Singing Ability Assessment: Development and validation of a singing test based on item response theory and a general open-source software environment for singing data Behavior Research Methods 0123456789 https://doi.org/10.3758/s13428-023-02188-0 Search in Google Scholar

Titze, I. R. (1992). Vocal intensity in speakers and singers. Journal of the Acoustical Society of America, 91(5), 2936–2946. https://doi.org/10.1121/1.402929 TitzeI. R. 1992 Vocal intensity in speakers and singers Journal of the Acoustical Society of America 91 5 2936 2946 https://doi.org/10.1121/1.402929 Search in Google Scholar

Turner, V., & Newman, F. (2005). Being Who You Aren’t ; Doing What You Can’t: Community music therapy & the para-doxes of performance. Voices: A World Forum for Music Therapy. https://doi.org/doi.org/10.15845/voices.v5i3.229 TurnerV. NewmanF. 2005 Being Who You Aren’t ; Doing What You Can’t: Community music therapy & the para-doxes of performance Voices: A World Forum for Music Therapy https://doi.org/doi.org/10.15845/voices.v5i3.229 Search in Google Scholar

Umbert, M., Bonada, J., Goto, M., Nakano, T., & Sundberg, J. (2015). Expression Control in Singing Voice Synthesis. IEEE Signal Processing Magazine, 32(6), 55–73. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7298564 UmbertM. BonadaJ. GotoM. NakanoT. SundbergJ. 2015 Expression Control in Singing Voice Synthesis IEEE Signal Processing Magazine 32 6 55 73 http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7298564 Search in Google Scholar

Wilson, H. (2021). Measuring the Association Between Vocal Effort and Intensity with Emotion Picture Viewing using the Borg Centimax. WilsonH. 2021 Measuring the Association Between Vocal Effort and Intensity with Emotion Picture Viewing using the Borg Centimax Search in Google Scholar