• DocumentCode
    591914
  • 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
  • fYear
    2012
  • fDate
    2-5 Dec. 2012
  • Firstpage
    376
  • Lastpage
    381
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/SLT.2012.6424253
  • Filename
    6424253