Objective measure of speech intelligibility : a case study of public address system in Hong Kong Lantau Airport Railway Project

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Objective measure of speech intelligibility : a case study of public address system in Hong Kong Lantau Airport Railway Project

 

Author: Chan, Chan-ping
Title: Objective measure of speech intelligibility : a case study of public address system in Hong Kong Lantau Airport Railway Project
Degree: M.Sc.
Year: 1998
Subject: Public address systems -- China -- Hong Kong -- Case studies
Speech processing systems -- Case studies
Electro-acoustics -- Case studies
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Dept. of Electronic Engineering
Pages: vii, 64, [74] leaves : ill. ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1425841
URI: http://theses.lib.polyu.edu.hk/handle/200/3158
Abstract: Intelligibility is one of the most important elements to ensure that the public address announcement can be clearly heard by passengers in railway stations in which reverberation and noise are always the problems. There are subjective and objective measures to assess the intelligibility. The former suffers from human biases and is time consuming so that engineers are exploring the possibility of using the latter as the substitute. Among various objective measures, this report concentrates on Rapid Speech Transmission Index (RASTI) and Distance Measure of Log Area Ratios (DLAR). The former is currently the most popular measure for the public address system in the engineering field owing to the recognized position of its supporter, International Electrotechnical Commission (IEC) and availability of sophisticated equipment. The latter is selected for its similarity with the speech perception and superior quantization property of the LAR. This report builds the models of RASTI and DLAR and compares the simulation results of two models under various reverberation and noise conditions by a statistical analysis to probe their correlations and contrasts. Three important findings are obtained from the simulation. The first is the high correlation between RASTI and DLAR when only reverberation or noise is present. The second is that RASTI does not correlate with DLAR when both reverberation and noise are present. The last is that different words possess different DLAR values under test. Explanations for the findings are further explored. At the end, a site measurement is used to validate the theoretical results.

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