Description: 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.
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File list (Check if you may need any files):
zp2tf_complex.m
firhilbert.m
formant_tracker_backend.m
formantfilters.m
gender_detector.m
mb_ftracker.m
readme.txt
rms.m
sample.au
sample.wav
db.m
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