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- W2024100511 abstract "Formant trackers that use peak-picking algorithms and ad hoc rules tend to suffer from occasional severe mistakes in labeling formants. Recently, Kopec [IEEE Trans. Acoust. Speech Signal Process. ASSP-34, 709–729 (1986)] used a statistical approach based on hidden Markov models to avoid these kinds of problems. This study uses another statistical technique based on discriminant analysis. A model is trained on handmarked formant trajectories and various features from a collection of utterances. The same features are then extracted from a test utterance and used to determine the most probable formant frequencies. Any combination of features, including peaks from LPC and DFT spectra, can be used with this technique. Preliminary results indicate that this method avoids serious mistakes. Results of evaluating the formant tracker on a large number of training and test sets will be presented. [Work supported by Rome Air Development Center under contract F3060285-C-0008.]" @default.
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- W2024100511 date "1987-11-01" @default.
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- W2024100511 title "Formant tracking using statistical pattern recognition" @default.
- W2024100511 doi "https://doi.org/10.1121/1.2024784" @default.
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