Title :
Modeling intensity contours and the interaction of pitch and intensity to improve automatic prosodic event detection and classification
Author :
Rosenberg, Andrew
Author_Institution :
Queens Coll., Comput. Sci. Dept., CUNY, Flushing, NY, USA
Abstract :
Prosody, or the way words are spoken, carries important information to understanding a speaker´s communicative intention. Many studies on automatic prosodic analysis focus on parameterizing pitch content. In this work, we extend previous pitch contour modeling features to intensity contours, and develop a set of features based on the interaction of pitch and intensity. These new features improve the state-of-the-art on all prosodic event detection and classification tasks related to automatic ToBI labeling.
Keywords :
feature extraction; pattern classification; speaker recognition; automatic ToBI labeling; automatic prosodic analysis; automatic prosodic event classification; automatic prosodic event detection; intensity contours; pitch content parameterization; pitch contour modeling features; pitch interaction; speaker communicative intention; Accuracy; Acoustics; Event detection; Feature extraction; Materials; Shape; Standards; Prosodic Analysis; Prosody;
Conference_Titel :
Spoken Language Technology Workshop (SLT), 2012 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
978-1-4673-5125-6
Electronic_ISBN :
978-1-4673-5124-9
DOI :
10.1109/SLT.2012.6424253