• 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