Identifying Uncertain Words within an Utterance via Prosodic Features

DSpace/Manakin Repository

Identifying Uncertain Words within an Utterance via Prosodic Features

Citable link to this page

. . . . . .

Title: Identifying Uncertain Words within an Utterance via Prosodic Features
Author: Pon-Barry, Heather Roberta; Shieber, Stuart M.

Note: Order does not necessarily reflect citation order of authors.

Citation: Pon-Barry, Heather and Stuart M. Shieber. 2009. Identifying uncertain words within an utterance via prosodic features. In Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009), Brighton, U.K., 6-10 September 2009.
Full Text & Related Files:
Abstract: We describe an experiment that investigates whether sub-utterance prosodic features can be used to detect uncertainty at the wordlevel. That is, given an utterance that is classified as uncertain, we want to determine which word or phrase the speaker is uncertain about. We have a corpus of utterances spoken under varying degrees of certainty. Using combinations of sub-utterance prosodic features we train models to predict the level of certainty of an utterance. On a set of utterances that were perceived to be uncertain, we compare the predictions of our models for two candidate target word segmentations: (a) one with the actual word causing uncertainty as the proposed target word, and (b) one with a control word as the proposed target word. Our best model correctly identifies the word causing the uncertainty rather than the control word 91% of the time.
Published Version: http://www.isca-speech.org/archive/archive_papers/interspeech_2009/papers/i09_1579.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4729424

Show full Dublin Core record

This item appears in the following Collection(s)

  • FAS Scholarly Articles [7103]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

Search DASH


Advanced Search
 
 

Submitters