Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)
A model of vocal tract has been presented.
According to the dimensions of natural tract,
equivalent parameters of the model have been
calculated. The proposed model permits to extract
important parameters of vocal signal, especially
frequency parameters of glottal waves. The proposed
system of speech processing permits also for analysis
and synthesis of all phonemes. The system is oriented
on the verification of speech malfunctions. The
improvement of verification process can be improved
by using more sophisticated classifiers, like neural
Index Terms. Vocal tract, fundamental frequency, speech verification, neural networks
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Ciota, Zygmunt (2007): "Methodology of fundamental frequency extraction and analysis using microphone speech signal and vocal tract model", In MAVEBA-2007, 123-126.