A Comparative Analysis of Pitch Detection Methods Under the Influence of Different Noise Conditions

SummaryObjectives/HypothesisPitch is one of the most important components in various speech processing systems. The aim of this study was to evaluate different pitch detection methods in terms of various noise conditions.Study DesignProspective study.MethodsFor evaluation of pitch detection algorithms, time-domain, frequency-domain, and hybrid methods were considered by using Keele and CSTR speech databases. Each of them has its own advantages and disadvantages.ResultsExperiments have shown that BaNa method achieves the highest pitch detection accuracy.ConclusionsThe development of methods for pitch detection, which are robust to additive noise at different signal-to-noise ratio, is an important field of research with many opportunities for enhancement the modern methods.