Reliability Modeling of Speech Recognition Tasks

doi:10.23940/ijpe.18.12.p9.29943004

Abstract

Abstract:

Speech recognition is becoming the key technology of man-machine interfaces in information technology. The application of voice technology has become a competitive and new high-tech industry. However, due to the big volume of vocabulary, continuous voice, and personalized accents, it is hard to make speech recognition completely accurate. In this paper, a reliability model is proposed to measure the performance of speech recognition. In particular, two types of task failures are suggested and an iterative approach is adopted. Numerical examples are proposed for illustrative purposes.

Key words: reliability model, speech recognition task, iterative approach

Hui Qiu, Xiangbin Yan, Rui Peng, Kaiye Gao, and Langtao Wu. Reliability Modeling of Speech Recognition Tasks [J]. Int J Performability Eng, 2018, 14(12): 2994-3004.

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References 15

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