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Analysis of infant cry through weighted linear prediction cepstral coefficients and probabilistic neural network
(Springer Science+Business Media, LLC., 2012)
Acoustic analysis of infant cry signals has been proven to be an excellent tool in the
area of automatic detection of pathological status of an infant. This paper investigates
the application of parameter weighting for ...
Classification of speech dysfluencies using LPC based parameterization techniques
(Springer Science+Business Media, LLC., 2011-01-20)
The goal of this paper is to discuss and compare three feature extraction methods: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral Coefficients (LPCC) and Weighted Linear Prediction Cepstral Coefficients ...