Abstract
This paper describes an automatic formant tracking algorithm incorporating speech knowledge. It operates in two phases. The first detects and interprets spectrogram peak lines in terms of formants. The second uses an image contour extraction method to regularise the peak lines thus detected. Speech knowledge served as acoustic constraints to guide the interpretation of peak lines. The proposed algorithm has the advantage of providing formant trajectories which, in addition to being sufficiently close to the spectral peaks of the respective formants, are sufficiently smooth to allow an accurate evaluation of formant transitions. The results obtained highlight the interest of the proposed approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
