A tone oriented voice excited vocoder

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Wavenet Based Low Rate Speech Coding (2017, background): “The parameter set differs little for approaches based on a temporal perspective with glottal pulse trains [15, 16], and those based on a frequency-domain perspective with sinusoids [17, 18].”
Improving Opus Low Bit Rate Quality with Neural Speech Synthesis (2019, background): “Examples are linear predictive vocoders [1, 2] or sinusoidal coders [3, 4].”
Neural Source-filter-based Waveform Model for Statistical Parametric Speech Synthesis (2018, methodology): “Inspired by classical speech modeling methods [7, 8], we used a source”
Perceptual coding of digital audio (2000, methodology): “Although sinusoidal signal models have been applied successfully in speech coding [204], [205], [189], [212] and music synthesis applications [214], there was until recently relatively little work reported on perceptual audio coding using sinusoidal signal models.”
Robust Low Rate Speech Coding Based on Cloned Networks and Wavenet (2020, methodology): “Alternative methods, such as sinusoidal coding [9, 10] and waveform interpolation [11], did not lead to signifant improvements in overall performance.”