Automatic Speech Recognition in Adverse Environments

Automatic Speech Recognition in Adverse Environments
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恶劣环境下的自动语音识别

DOI:
10.1518/001872096778940840
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发表时间:
1996
期刊:
Human Factors: The Journal of Human Factors and Ergonomics Society
影响因子:
--
通讯作者:
J. Noyes
J. Noyes
中科院分区:
--
文献类型:
--
作者:
Chris Baber;J. Noyes

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过去几十年来,自动语音识别 (ASR) 技术的发展使得 ASR 被考虑用于越来越多的应用。然而,许多生理和心理环境仍然被认为不适合这项技术。这里考虑了一些造成不利环境的压力源,以及它们对人类语音产生、人类总体表现的影响以及对 ASR 系统设计的影响。我们建议,持续的技术发展与系统工程和人为因素的应用相结合,将确保在许多以前被认为是高风险的环境中实现稳健的 ASR 性能。
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.
DOI: 10.1121/1.396660
发表时间: 1988-09-01
影响因子: 2.4
作者:
VANSUMMERS, W;PISONI, DB;STOKES, MA
通讯作者: STOKES, MA