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Speech user interfaces for information retrieval
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Source Conference on Information and Knowledge Management archive
Proceedings of the twelfth international conference on Information and knowledge management table of contents
New Orleans, LA, USA
SESSION: Information retrieval session 2: non-text retrieval table of contents
Pages: 77 - 82  
Year of Publication: 2003
ISBN:1-58113-723-0
Authors
Juan E. Gilbert  Auburn University
Yapin Zhong  Auburn University
Sponsors
ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

The research proposed here concentrates on the problem of designing and developing a spoken query retrieval (SQR) system to access large document databases via voice. The main challenge is to identify and address issues related to designing an effective and efficient speech user interface (SUI), especially if the aim is to facilitate spoken queries of large document databases. Furthermore, the task of presenting large query result sets aurally should be performed such that the user's short term memory is not overloaded. In this paper, a framework allowing information retrieval to large document databases via voice is presented and findings from a research study using the framework will be discussed as well.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Juan E. Gilbert: colleagues
Yapin Zhong: colleagues