Abstract
It will be argued that customary software design strategies, by themselves, fall short when designing speech recognition applications. Concepts of experimental design and analysis are also necessary for developing speech interface software. This study demonstrates that these tools can be advantageous to the software developer, especially if the prototype methodology model of software development is applied. A case study for the problem of developing a speech interface for collecting, or mapping, information on cotton plant growth is presented. The acquisition of cotton plant map data is a 'hands and eyes' busy task that requires considerable investment to record and convert hand-written data sheets into computer data files. The project goal is to develop software that converts spoken key words and phrases describing a cotton plant into text 'strings' that are subsequently manipulated into a computer ready data file.
Keywords
Speech recognition, software testing, software design, experimental design.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Willers, Jeffrey; Bridges, Susan; Ma, Xiaofeng; McKinion, James; and Liang, Jean
(1996).
"DESIGNING SPEECH INTERFACE APPLICATIONS FOR ACQUISITION OF AGRICULTURAL INFORMATION,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1324
DESIGNING SPEECH INTERFACE APPLICATIONS FOR ACQUISITION OF AGRICULTURAL INFORMATION
It will be argued that customary software design strategies, by themselves, fall short when designing speech recognition applications. Concepts of experimental design and analysis are also necessary for developing speech interface software. This study demonstrates that these tools can be advantageous to the software developer, especially if the prototype methodology model of software development is applied. A case study for the problem of developing a speech interface for collecting, or mapping, information on cotton plant growth is presented. The acquisition of cotton plant map data is a 'hands and eyes' busy task that requires considerable investment to record and convert hand-written data sheets into computer data files. The project goal is to develop software that converts spoken key words and phrases describing a cotton plant into text 'strings' that are subsequently manipulated into a computer ready data file.
