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Barratt-Peacock, R., & Herbst, J. - P. (2025). The effects of ensemble singing on heaviness in metal music: Revisiting a systematic approach. Metal Music Studies, 11(1), 65–89.
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Burns, L. (2025). Beyond “Beauty and the Beast”: The Evolution of Gendered Clean-Harsh Vocal Pairings in Metal Music. In L. Burns, & C. Scotto (Eds.), The Routledge Handbook to Metal Music Composition: Evolution of Structure, Expression, and Production (pp. 368–382). Abingdon; New York: Routledge.
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King, C. (2025). Nu Metal’s Influential Vocal Composition: Tension and Release in the Music of Korn, Incubus, and Machine Head. In L. Burns, & C. Scotto (Eds.), The Routledge Handbook to Metal Music Composition: Evolution of Structure, Expression, and Production (pp. 354–367). Abingdon; New York: Routledge.
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Marstal, H. (2021). Mercyful Fate's “Don't Break the Oath”. New York: Bloomsbury.
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Penwell, B. J.. (2025). “NO CLEAN SINGING” – The Exclusive or Predominant Use of Harsh Vocals as the Primary Unifying Musical Characteristic of Extreme Metal Genres. Ph.D. thesis, Northwestern University, Evanston.
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Quires, V. J. (2025). Thine Voice is Oh So Sweet: Gothic Metal and Vocal Timbre Diversity. In L. Burns, & C. Scotto (Eds.), The Routledge Handbook to Metal Music Composition: Evolution of Structure, Expression, and Production (pp. 341–353). Abingdon; New York: Routledge.
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Smialek, E. (2025). “All Shall Scream”: Transposable Lessons from Pierre-Luc Senécal’s Hate.Machine for Growlers Choir. In L. Burns, & C. Scotto (Eds.), The Routledge Handbook to Metal Music Composition: Evolution of Structure, Expression, and Production (pp. 309–326). Abingdon; New York: Routledge.
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Strauss, S. (2025). Song of the Siren, Cry of the Warrior: An Exploration of Song Structures and Female Vocal Techniques in Power Metal. In L. Burns, & C. Scotto (Eds.), The Routledge Handbook to Metal Music Composition: Evolution of Structure, Expression, and Production (pp. 327–340). Abingdon; New York: Routledge.
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Tailleur, M., Pinquier, J., Millot, L., Vogel, C., & Lagrange, M. (2024). EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal. In 21st International Conference on Content Based Multimedia Indexing (CBMI) (pp. 126–130). Reykjavik: Reykjavik University.
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