A sawtooth waveform inspired pitch estimator for speech and music.

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WORLD: A Vocoder-Based High-Quality Speech Synthesis System for Real-Time Applications (2016, methodology): “Even though it is much faster than other algorithms such as YIN [21] and SWIPE [22], its estimation performance is not inferior to theirs [15].”
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis (2018, methodology): “The features comprised linearly interpolated log pitch estimated using SWIPE [88], 60 mel-cepstrum features (MCEPs, with frequency warping 0.77 to approximate the Bark scale), and 25 band-aperiodicity coefﬁcients (BAPs) based on critical bands.”
Simplified aperiodicity representation for high-quality speech manipulation systems (2012, methodology): “The red line is SWIPE [21].”
A pitch extraction algorithm tuned for automatic speech recognition (2014, methodology): “We started our work by obtaining various off-the-shelf pitch extractors , namely Yin [2], Getf0 [3], SAcC [4], Wu [5], SWIPE [6] and YAAPT [7].”