Classification of Prosodic Events using Quantized Contour Modeling
Andrew L. Rosenberg · 2010
We present Quantized Contour Modeling (QCM), a Bayesian approach to the classification of acoustic contours. We evaluate the performance of this tech-nique in the classification of prosodic events. We find that, on BURNC, this technique can success-fully classify pitch accents with 63.99 % accuracy (.4481 CER), and phrase ending tones with 72.91% accuracy. 1