title: A Comparative Analysis of Pitch Detection Methods Under the Influence of Different Noise Conditions.
abstract: OBJECTIVE
  Pitch 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.
  
  
  METHODS
  Prospective study.
  
  
  METHODS
  For 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.
  
  
  RESULTS
  Experiments have shown that BaNa method achieves the highest pitch detection accuracy.
  
  
  CONCLUSIONS
  The 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.
authors.affiliation: Department of Information Security, Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan. Electronic address: lsuhostat@hotmail.com.
authors.forename: Lyudmila
authors.initials: L
authors.lastname: Sukhostat
authors.affiliation: Department of Information Security, Institute of Information Technology, Azerbaijan National Academy of Sciences, Baku, Azerbaijan.
authors.forename: Yadigar
authors.initials: Y
authors.lastname: Imamverdiyev
mesh_terms: D000465:Algorithms; D006801:Humans; D009622:Noise; D010898:Pitch Perception; D011446:Prospective Studies; D013061:Speech Acoustics
keywords: Domain methods; Frequency; Hybrid methods; Pitch detection; Time-domain methods