Discovering dimensions of perceived vocal expression in semi-structured, unscripted oral history accounts
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)(2017)
摘要
What do people hear in expressive, unprompted speech? And how can their descriptions be transformed into a representative set of dimensions of vocal expression? This paper presents a methodology for collecting user description of vocal expression, transforms the user descriptions into a set of measurable expressive dimensions, and derives a representative feature set and baseline classifiers across these dimensions. The resulting classifiers recognized the top 13 dimensions over an oral history corpus, with a maximum unweighted recall score of 80.5%.
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关键词
Perception, vocal expression, paralingual speech, acoustic correlates, unscripted speech, oral histories
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