SpeechMark: Landmark Detection Tool for Speech Analysis

نویسندگان

  • Suzanne Boyce
  • Harriet J. Fell
  • Joel MacAuslan
چکیده

Landmark-based software tools are particularly suited to fast, automatic analysis of small, non-lexical differences in production of the same speech material by the same speaker. We are building a suite of independent applications and plugins as toolkits that make our landmark-based software system, SpeechMark, available to the wider scientific community. This will be achieved by extending existing software platforms with “plug-ins” that perform specific measures and report results to the user and by developing a MATLAB toolkit. These tools provide automatic summary statistics for measures of speech acoustics based on Stevens’ paradigm of landmarks, points in an utterance around which information about articulatory events can be extracted.

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تاریخ انتشار 2012