English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Reaching over the gap: A review of efforts to link human and automatic speech recognition research

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)

4AEDA7C2d01.pdf
(Publisher version), 232KB

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

Scharenborg, O. (2007). Reaching over the gap: A review of efforts to link human and automatic speech recognition research. Speech Communication, 49, 336-347. doi:10.1016/j.specom.2007.01.009.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-D1D3-6
Abstract
The fields of human speech recognition (HSR) and automatic speech recognition (ASR) both investigate parts of the speech recognition process and have word recognition as their central issue. Although the research fields appear closely related, their aims and research methods are quite different. Despite these differences there is, however, lately a growing interest in possible cross-fertilisation. Researchers from both ASR and HSR are realising the potential benefit of looking at the research field on the other side of the ‘gap’. In this paper, we provide an overview of past and present efforts to link human and automatic speech recognition research and present an overview of the literature describing the performance difference between machines and human listeners. The focus of the paper is on the mutual benefits to be derived from establishing closer collaborations and knowledge interchange between ASR and HSR. The paper ends with an argument for more and closer collaborations between researchers of ASR and HSR to further improve research in both fields.