Comparing Pitch Detection Algorithms for Voice Applications

نویسندگان

  • Jan Bartošek
  • Václav Hanžl
چکیده

The article deals mainly with objective comparisons of pitch-detection algorithms (PDAs) in area of speech signals processing. For this purpose evaluation framework was developed using for comparisons reference pitch database. A set of objective criteria was established too. All tested algorithms are also briefly described, new method MNFBC is presented in detail. Results show the biggest bottleneck in voice/unvoiced decision stage for the most of tested algorithms. Optimal time resolution for PDA is discussed too.

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تاریخ انتشار 2010