DocumentCode :
2424236
Title :
An improved STI method for evaluating Mandarin speech intelligibility
Author :
Yang, Lin ; Zhang, Jianping ; Yan, Yonghong
Author_Institution :
Inst. of Acoust., ThinkIT Speech Lab., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
7-9 July 2008
Firstpage :
102
Lastpage :
106
Abstract :
Speech Transmission Index (STI) is a physical metric predicting the speech intelligibility. It shows a good correlation with the subjective intelligibility when used for English, but it has not been reported to be applicable to such tonal language as Mandarin. In this study, the traditional STI method is improved by adopting an accumulative normal distribution assumption between the signal-to-noise ratios and intelligibility, in which some characteristics of Mandarin speech are taken into considered. Results from psychoacoustic perceptual experiments show that the improved method is more suitable for objective evaluation of Mandarin speech intelligibility in noisy and reverberant listening conditions compared with the traditional method. The correlation coefficient between the subjective intelligibility and the objective STI is improved from 0.97 to 0.98; and the standard error decreased from 15.67% to 6.58%. This method is also expected to be applicable to other languages.
Keywords :
natural languages; speech intelligibility; speech processing; Mandarin speech characteristics; Mandarin speech intelligibility; accumulative normal distribution; correlation coefficient; noisy listening condition; psychoacoustic perceptual experiment; reverberant listening condition; signal-to-noise ratio; speech transmission index; subjective intelligibility when used tonal language; Acoustic measurements; Acoustic testing; Artificial intelligence; Frequency; IEC standards; Natural languages; Noise measurement; Signal to noise ratio; Speech analysis; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
Type :
conf
DOI :
10.1109/ICALIP.2008.4590080
Filename :
4590080
Link To Document :
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