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.-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.