Synthesis of the Singing Voice by Performance Sampling and Spectral Models

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Jukebox: A Generative Model for Music (2020, methodology): “…sheet music (Hiller Jr & Isaacson, 1957; Moorer, 1972; Hadjeres et al., 2017; Huang et al., 2017), digital vocoders generating a singer’s voice (Bonada & Serra, 2007; Saino et al., 2006; Blaauw & Bonada, 2017) and also synthesizers producing timbres for various musical instruments (Engel et…”
v.morish'09: A Morphing-Based Singing Design Interface for Vocal Melodies (2009, background): “In the field of sound synthesis study, vocal synthesis has been a major research target, and core technologies have already been proposed [1],[2].”
A Neural Parametric Singing Synthesizer (2017, background): “The more prominent of which are based on concatenative methods [16, 1] and statistical parametric methods centered around Hidden Markov Models (HMMs) [2, 3].”
A Survey on Recent Deep Learning-driven Singing Voice Synthesis Systems (2021, methodology): “Before neural networks were widely used, unit concatenation [28] and hidden Markov Model (HMM) [16] approaches were adopted for SVS.”