Automatic Speech Recognition in Adverse Environments

Author:

Baber Chris1,Noyes Jan2

Affiliation:

1. University of Birmingham, Birmingham, England

2. University of Bristol, Bristol, England

Abstract

Technological developments in automatic speech recognition (ASR) technology over the last couple of decades have resulted in ASR being considered for use in an ever-increasing number of applications. However, a number of physical and psychological environments are still deemed inappropriate for this technology. Several of the stressors creating adverse environments are considered here, in conjunction with their effects on human speech production, human performance in general, and the implications for ASR system design. We propose that a combination of continuing technological developments, together with the application of system engineering and human factors, will lead to ensuring the attainment of robust ASR performance in a number of environments previously considered as high risk.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Reference86 articles.

1. Baber, C. (1995). The effects of workload on the use of speech recognition systems. In Proceedings of NATO/ESCA Workshop on Speech Under Stress (pp. 75–82). Lisbon: European Speech Communication Association.

2. Baber, C., Stammers, R. B. & Taylor, R. G. (1991). An experimental assessment of automatic speech recognition in high cognitive workload situations in control rooms. In Proceedings of the 11th International Ergonomics Association Conference (pp. 833–835). London: Taylor & Francis.

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