Modeling hyperarticulate speech during human-computer error resolution

Sharon Oviatt, Gina Anne Levow, Margaret MacEachern, Karen Kuhn

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

32 Citations (Scopus)


Hyperarticulate speech to computers remains a poorly understood phenomenon, in spite of its association with elevated recognition errors. The present research analyzes the type and magnitude of linguistic adaptations that occur when people engage in error resolution with computers. A semi-automatic simulation method incorporating a novel error generation capability was used to collect speech data immediately before and after system recognition errors, and under conditions varying in error base-rates. Data on original and repeated spoken input, which were matched on speaker and lexical content, then were examined for type and magnitude of linguistic adaptations. Results indicated that speech during error resolution primarily was longer in duration, including both elongation of the speech segment and substantial relative increases in the number and duration of pauses. It also contained more clear speech phonological features and fewer spoken disfluencies. Implications of these findings are discussed for the development of more user-centered and robust error handling in next-generation systems.

Original languageEnglish
Title of host publicationProceeding of Fourth International Conference on Spoken Language Processing, ICSLP '96
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)0780335554
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4) - Philadelphia, United States of America
Duration: 3 Oct 19966 Oct 1996


ConferenceProceedings of the 1996 International Conference on Spoken Language Processing, ICSLP. Part 1 (of 4)
CountryUnited States of America

Cite this