are able to heavily influence the performances of this kind of algorithms.ģScholars worked hard searching for increasingly sophisticated techniques for these specific cases, although extremely relevant for the construction of real applications, considering solved, or perhaps simply abandoning, the problem of the F0 extraction for the so-called “clean speech”. As a consequence, the automatic extraction of F0 has been a subject of study for a long time inspiring many works that aim to develop algorithms, commonly known as Pitch Detection Algorithms (PDA), able to reliably extract F0 from the acoustic component of the utterances.ĢTechnically, the extraction of F0 is a problem far from trivial and the great variety of methodologies applied to this task demonstrate its extreme complexity, especially considering that it is difficult to design a PDA that works optimally for the different recording conditions, considering that parameters such as speech type, noise, overlaps, etc. IntroductionġThe pitch, and in particular the fundamental frequency - F0 - which represents its physical counterpart, is one of the most relevant perceptual parameters of the spoken language and one of the fundamental phenomena to be carefully considered when analysing linguistic data at a phonetic and phonological level. We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.

Rapt define