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Automatic glottal waveform estimation remains a challenging problem in speech analysis. Developing criteria for the objective assessment of the quality of glottal waveform estimates would facilitate the design of more robust estimation algorithms. The aim of this paper is to investigate the performance of potential glottal waveform quality measures (GQM’s) and to determine whether a combination of these GQM’s is able to consistently provide an accurate assessment of glottal waveform estimate quality across several speakers and phonemes. We develop an experimental setup that produces disjoint sets of high and low-quality glottal waveform estimates from real speech and use this data to objectively assess the performance of 12 glottal waveform quality measures on a sustained vowel speech dataset spanning 16 male speakers and 3 phonemes. In addition, we present a rank-based method (RB-GQA) that …