English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Constraints on theories of human vs. machine recognition of speech

MPS-Authors
/persons/resource/persons30

Cutler,  Anne
Language Comprehension Group, MPI for Psycholinguistics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Cutler_2001_Pro_Constraints.pdf
(Publisher version), 224KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Moore, R. K., & Cutler, A. (2001). Constraints on theories of human vs. machine recognition of speech. In R. Smits, J. Kingston, T. Neary, & R. Zondervan (Eds.), Proceedings of the workshop on Speech Recognition as Pattern Classification (SPRAAC) (pp. 145-150). Nijmegen: Max Planck Institute for Psycholinguistics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-3777-C
Abstract
The central issues in the study of speech recognition by human listeners (HSR) and of automatic speech recognition (ASR) are clearly comparable; nevertheless the research communities that concern themselves with ASR and HSR are largely distinct. This paper compares the research objectives of the two fields, and attempts to draw informative lessons from one to the other.