dc.contributor.author |
Modipa, T
|
|
dc.contributor.author |
De Wet, Febe
|
|
dc.contributor.author |
Davel, M
|
|
dc.date.accessioned |
2010-01-08T15:53:49Z |
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dc.date.available |
2010-01-08T15:53:49Z |
|
dc.date.issued |
2009-11 |
|
dc.identifier.citation |
Modipa, P, De Wet, F and Davel, M. 2009. ASR performance analysis of an experimental call routing system. 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA). Stellenbosch, South Africa, 30 November - 01 December 2009, pp 127-130 |
en |
dc.identifier.uri |
http://hdl.handle.net/10204/3860
|
|
dc.description |
20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA). Stellenbosch, South Africa, 30 November - 01 December 2009 |
en |
dc.description.abstract |
Call routing is an important application of Automatic Speech Recognition (ASR) technology. In this paper the authors discuss the main issues affecting the performance of a call routing system and describe the ASR component of the "AutoSecretary" system: an experimental call routing system performing automated secretarial functions. Specific attention is paid to the ASR pronunciation dictionary, and the impact of different dictionary configurations on recognition accuracy is investigated. While ASR accuracy, when evaluated off-line, is found to be high, accuracies recorded during on-line usage is much lower. Reasons for the lower than expected call completion rates are investigated through a detailed analysis of session log files, and improvements to the current system are proposed. |
en |
dc.language.iso |
en |
en |
dc.publisher |
PRASA 2009 |
en |
dc.subject |
Call routing |
en |
dc.subject |
Automated speech recognition |
en |
dc.subject |
Proper name recognition |
en |
dc.subject |
Spoken dialog systems |
en |
dc.subject |
Call routing system |
en |
dc.subject |
AutoSecretary system |
en |
dc.subject |
PRASA 2009 |
en |
dc.title |
ASR performance analysis of an experimental call routing system |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Modipa, T., De Wet, F., & Davel, M. (2009). ASR performance analysis of an experimental call routing system. PRASA 2009. http://hdl.handle.net/10204/3860 |
en_ZA |
dc.identifier.chicagocitation |
Modipa, T, Febe De Wet, and M Davel. "ASR performance analysis of an experimental call routing system." (2009): http://hdl.handle.net/10204/3860 |
en_ZA |
dc.identifier.vancouvercitation |
Modipa T, De Wet F, Davel M, ASR performance analysis of an experimental call routing system; PRASA 2009; 2009. http://hdl.handle.net/10204/3860 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Modipa, T
AU - De Wet, Febe
AU - Davel, M
AB - Call routing is an important application of Automatic Speech Recognition (ASR) technology. In this paper the authors discuss the main issues affecting the performance of a call routing system and describe the ASR component of the "AutoSecretary" system: an experimental call routing system performing automated secretarial functions. Specific attention is paid to the ASR pronunciation dictionary, and the impact of different dictionary configurations on recognition accuracy is investigated. While ASR accuracy, when evaluated off-line, is found to be high, accuracies recorded during on-line usage is much lower. Reasons for the lower than expected call completion rates are investigated through a detailed analysis of session log files, and improvements to the current system are proposed.
DA - 2009-11
DB - ResearchSpace
DP - CSIR
KW - Call routing
KW - Automated speech recognition
KW - Proper name recognition
KW - Spoken dialog systems
KW - Call routing system
KW - AutoSecretary system
KW - PRASA 2009
LK - https://researchspace.csir.co.za
PY - 2009
T1 - ASR performance analysis of an experimental call routing system
TI - ASR performance analysis of an experimental call routing system
UR - http://hdl.handle.net/10204/3860
ER -
|
en_ZA |