Response time as a metric for comparison of speech recognition by humans and 
machines

Cutler, Anne; Robinson, Tony

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Response time as a metric for comparison of speech recognition by humans and machines

MPS-Authors

There are no MPG-Authors in the publication available

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

Cutler_1992_Response time as.pdf
(Publisher version), 49KB

Supplementary Material (public)

There is no public supplementary material available

Citation

Cutler, A., & Robinson, T. (1992). Response time as a metric for comparison of speech recognition by humans and machines. In J. Ohala, T. Neary, & B. Derwing (Eds.), Proceedings of the Second International Conference on Spoken Language Processing: Vol. 1 (pp. 189-192). Alberta: University of Alberta.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-36EF-8

Abstract

The performance of automatic speech recognition systems is usually assessed in terms of error rate. Human speech recognition produces few errors, but relative difficulty of processing can be assessed via response time techniques. We report the construction of a measure analogous to response time in a machine recognition system. This measure may be compared directly with human response times. We conducted a trial comparison of this type at the phoneme level, including both tense and lax vowels and a variety of consonant classes. The results suggested similarities between human and machine processing in the case of consonants, but differences in the case of vowels.