September 22-25, 1997
For some tasks (e.g. ,forensic applications) it is vital important to know real pitch. So there is a problem to check-up the correctness of any concrete pitch contour for long speech records for any pitch detection method. Besides it would be useful to see the degree of signal periodicity without strong decision voice/noise. The new homomorphic method of signal periodicity degree detection with analysis frame length in proportion to the time-lag is described. The powerfull working approach to visual analysis of speech signal periodicity is proposed. This Foicograms method of speech periodicity representation ensures the practical correctness of pitch estimation and allows to find periodicity degree for poor quality signal.
Bibliographic reference. Koval, Serguei / Bekasova, Veronika / Khitrov, Michael / Raev, Andrey (1997): "Pitch detection reliability assessment for forensic applications", In EUROSPEECH-1997, 489-492.