Department of Clinical and Experimental Audiology, Academic Medical Center, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
Department of Otorhinolaryngology and Head and Neck Surgery, Rudolf Magnus Institute of Neuroscience, University Medical Center, Utrecht, The Netherlands.
J Acoust Soc Am. 2019 Mar;145(3):1178. doi: 10.1121/1.5092204.
The Speech Transmission Index (STI) is used to predict speech intelligibility in noise and reverberant environments. However, measurements and predictions in fluctuating noises lead to inaccuracies. In the current paper, the Extended Speech Transmission Index (ESTI) is presented in order to deal with these shortcomings. Speech intelligibility in normally hearing subjects was measured using stationary and fluctuating maskers. These results served to optimize model parameters. Data from the literature were then used to verify the ESTI-model. Model outcomes were accurate for stationary maskers, maskers with artificial fluctuations, and maskers with real life non-speech modulations. Maskers with speech-like characteristics introduced systematic errors in the model outcomes, probably due to a combination of modulation masking, context effects, and informational masking.
言语传输指数（STI）用于预测噪声和混响环境中的言语可懂度。然而，在波动噪声中的测量和预测会导致不准确。在当前的论文中，提出了扩展言语传输指数（ESTI）以解决这些缺点。使用固定和波动掩蔽器测量正常听力受试者的言语可懂度。这些结果用于优化模型参数。然后使用文献中的数据验证 ESTI 模型。对于固定掩蔽器、具有人工波动的掩蔽器和具有真实生活中非言语调制的掩蔽器，模型结果是准确的。具有类似言语特征的掩蔽器在模型结果中引入了系统误差，这可能是调制掩蔽、上下文效应和信息掩蔽的综合作用。
