Analysis and modeling of "focus" in context

Dirk Hovy, Gopala Anumanchipalli, Alok Parlikar, Carolin Vaughn, Adam Lammert, Eduard Hovy, Alan W Black

4 Citations (Scopus)

Abstract

This paper uses a crowd-sourced definition of a speech phenomenon we have called focus. Given sentences, text and speech, in isolation and in context, we asked annotators to identify what we term the focus word. We present their consistency in identifying the focused word, when presented with text or speech stimuli. We then build models to show how well we predict that focus word from lexical (and higher) level features. Also, using spectral and prosodic information, we show the differences in these focus words when spoken with and without context. Finally, we show how we can improve speech synthesis of these utterances given focus information.
Original languageEnglish
Title of host publicationProceedings of the 14th Annual Conference of the International Speech Communication Association : Interspeech 2013
Number of pages5
PublisherInternational Speech Communication Association (ISCA)
Publication date2013
ISBN (Electronic)978-1-62993-443-3
Publication statusPublished - 2013

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