Introduction - If you have any usage issues, please Google them yourself
Abstract—Several algorithms have been developed for tracking
formant frequency trajectories of speech signals, however most of
these algorithms are either not robust in real-life noise environments
or are not suitable for real-time implementation. The algorithm
presented in this paper obtains formant frequency estimates
voiced segments of continuous speech by using a time-varying
adaptive filterbank to track individual formant frequencies. The
formant tracker incorporates an adaptive voicing detector and a
gender detector for formant extraction continuous speech,
for both male and female speakers. The algorithm has a low signal
delay and provides smooth and accurate estimates for the first four
formant frequencies at moderate and high signal-to-noise ratios.
Thorough testing of the algorithm has shown that it is robust over
a wide range of signal-to-noise ratios for various types of background
noises.